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Article
Computer Science, Artificial Intelligence
Ying Sun et al.
Summary: This paper introduces the Equilibrium Optimizer (EO) algorithm and the Enhanced Equilibrium Optimizer (EEO) algorithm based on communication strategies for solving the Job Shop Scheduling Problem (JSSP). Experimental results show that the improved algorithm has made significant improvements in solving JSSP.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Soham Chattopadhyay et al.
Summary: Speech is crucial in human communication and human-computer interaction. In the field of AI and ML, it has been extensively studied to recognize human emotions from speech signals. To address the challenge of large feature dimension, a hybrid feature selection algorithm called CEOAS is proposed. By extracting LPC and LPCC features, the proposed model reduces feature dimension and improves classification accuracy. Impressive recognition accuracies have been achieved on four benchmark datasets, surpassing state-of-the-art algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Zhi-Yuan Shao et al.
Summary: This paper introduces an equilibrium optimiser for planning the shortest flight path of drones using interswarm interactive learning strategy. The algorithm triggers interswarm interactive learning behavior when the global best fitness value remains unchanged for consecutive k generations. Additionally, it improves exploitation capability by introducing a global optimal disturbance strategy and balance exploration and exploitation with linearly decreasing inertia weights, showing greater advantages in test results on 23 benchmark functions.
ENTERPRISE INFORMATION SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
M. H. Alham et al.
Summary: This study discusses the viability of wind resources and economic assessment for four locations in Egypt, and concludes that Ras El-Hekma has the best wind energy potential and the lowest cost of energy when using the EWT-DW61/22 turbine.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Computer Science, Software Engineering
Gyanesh Das et al.
Summary: This paper proposes a multilevel optimal threshold selection method using opposition equilibrium optimizer. The method minimizes the segmentation error function and is independent of the spatial distribution of gray values, resulting in improved threshold selection. Experimental results showed that the proposed method performs well qualitatively and quantitatively, making it valuable for biomedical image segmentation.
INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS
(2023)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: This paper proposes an enhanced version of Equilibrium Optimizer (EO) called Enhanced Equilibrium Optimizer (EEO) for solving global optimization and optimal power flow (OPF) problems. The proposed algorithm improves upon the original EO by introducing a new performance reinforcement strategy with the Levy Flight mechanism. The efficacy of the EEO algorithm is demonstrated through comparisons with other algorithms on the CEC'20 test suite, as well as its application to the OPF problem on the IEEE 30-bus test system. The results show that the EEO algorithm outperforms other methods by providing better optimized solutions.
APPLIED INTELLIGENCE
(2023)
Article
Automation & Control Systems
Rizk M. Rizk-Allah et al.
Summary: This paper proposes a novel algorithm named EO-PS, based on the hybridization of equilibrium optimizer and pattern search techniques, for accurate and reliable wind farm layout optimization design. The algorithm operates in two phases, utilizing equilibrium optimizer in the first phase to explore the search space and pattern search in the second phase to guide the searching towards better solutions. The algorithm is implemented and tested on irregular land space in Egypt, achieving optimal layout configuration for practical planning trends. The comprehensive results and analyses confirm the competitive performance of EO-PS in terms of solution quality and reliability.
Article
Engineering, Multidisciplinary
Eman A. Sayed et al.
Summary: This paper proposes a new hybrid optimization technique for tuning the PV system controller gains under normal conditions and dynamic irradiance. The technique combines Teaching Learning Based Optimization (TLBO) and Equilibrium Optimizer (EO) to achieve high exploration and exploitation. A comparison with various optimization approaches confirms the superiority of the proposed technique in improving PV system performance.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Engineering, Multidisciplinary
W. Y. Wang et al.
Summary: This work proposes a novel adaptive global optimization algorithm called Disturbance Inspired Equilibrium Optimizer, which enhances the exploitation ability of Equilibrium Optimizer and solves the issue of getting trapped in local minima. The algorithm introduces a novel disturbance-based hybrid initialization strategy, a new form of time factor, and a new update rule of particle's position, leading to significantly improved exploration and exploitation ability.
APPLIED MATHEMATICAL MODELLING
(2023)
Review
Computer Science, Interdisciplinary Applications
Rebika Rai et al.
Summary: The Marine Predators Algorithm (MPA) is a popular population-based meta-heuristic algorithm inspired by the foraging actions of marine predators. It has gained significant attention since its introduction in 2020 and has been successfully applied in various fields such as image processing, power systems, and optimization problems. MPA stands out from other optimization algorithms due to its simplicity, quick execution time, and ability to solve continuous, multi-objective, and binary problems. This paper provides a comprehensive summary of MPA and its applications, and suggests potential future research directions.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Doaa A. Altantawy et al.
Summary: SARS-CoV2 (COVID-19) is a virus causing a global pandemic with a high death toll. This paper proposes a novel prediction model for COVID-19 based on routine blood tests, utilizing a sparsification procedure, a hybrid feature selection mechanism, and a 1D Convolutional Neural Network (1DCNN) for diagnosis. The model outperforms state-of-the-art techniques with an average testing accuracy of 98.5% using less than half the size of the feature pool.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Yuxian Duan et al.
Summary: This article introduces an improved affinity propagation algorithm based on optimization of preference (APBOP) for automatic clustering on high-dimensional data. APBOP aims to address the challenges of feature extraction from high-dimensional data and the sensitivity of the clustering performance to preference. The proposed method utilizes dimensionality reduction and preference optimization techniques to improve the effectiveness of affinity propagation.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Hardware & Architecture
Krishna Gopal Dhal et al.
Summary: This paper proposes a histogram-based fast fuzzy image clustering method that addresses the issues of noise and initial cluster centers in fuzzy C-means algorithm. By combining nature-inspired optimization algorithms, the method improves image segmentation accuracy and computational efficiency.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
K. Balakrishnan et al.
Summary: In this research, an enhanced variant of equilibrium optimization is proposed to handle feature selection problems. By incorporating the Levy flight approach with conventional equilibrium optimization, the method achieves good results in feature selection for high-dimensional datasets.
Article
Computer Science, Interdisciplinary Applications
Ritam Guha et al.
Summary: This paper proposes a binary adaptation of Equilibrium Optimizer (EO) called Discrete EO (DEO) for solving binary optimization problems. DEOSA algorithm, combining DEO with Simulated Annealing (SA) as a local search procedure, is applied to various datasets and outperforms other algorithms. The scalability and robustness of DEOSA are also tested on high-dimensional Microarray datasets and Knapsack problems, showing its superiority.
JOURNAL OF COMPUTATIONAL SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Krishna Gopal Dhal et al.
Summary: The complexity of real-world optimization problems has necessitated proficient and ingenious optimization algorithms, particularly in cases where classical approaches fall short. In recent years, approaches based on nonlinear physics have emerged and flourished, surpassing existing methods in their exploration capabilities. Archimedes Optimization Algorithm (AOA), a physics-inspired optimization algorithm, has shown promising outcomes in the field of image segmentation, especially when using Tsallis entropy as the objective function.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Min Zhang et al.
Summary: In this paper, a ReliefF-guided novel binary equilibrium optimizer (RG-NBEO) is proposed for feature selection. The proposed method can effectively improve the classification accuracy while reducing the dimensionality of the dataset.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Computer Science, Hardware & Architecture
Amukta Malyada Vommi et al.
Summary: With the rapid expansion in Biological Sciences, biomedical data classification has become challenging. A novel hybrid wrapper-based feature selection method called BMHEO is proposed to effectively tackle the issues of missing values, redundant features, and irrelevant information in these datasets. Experimental results demonstrate that the Random Forest classifier exhibits superior performance compared to other classifiers and the BMHEO-S2 version outperforms other methods in terms of fitness values and classification accuracies.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Biology
Changting Zhong et al.
Summary: Feature selection is a popular technique in machine learning to improve classification accuracy by extracting optimal features. This study proposes a self-adaptive quantum equilibrium optimizer with artificial bee colony (SQEOABC) for feature selection. Experimental results on benchmark datasets and a real-world COVID-19 problem demonstrate the effectiveness and superiority of the SQEOABC algorithm compared to other metaheuristic algorithms and variants of equilibrium optimizer.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Multidisciplinary Sciences
Hichem Rahab et al.
Summary: With the development of the Internet, sentiment analysis has gained attention in the research community. While English sentiment analysis has been extensively studied, other languages like Arabic have received less attention. This study proposes a rule-based Arabic sentiment analysis approach that outperforms other models in terms of classification accuracy.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Xinming Zhang et al.
Summary: This paper proposes an information-utilization strengthened EO algorithm called IS-EO, which enhances information sharing between individuals through the introduction of cross EO, global-best opposition learning CEO, and differential mutation strategy. Experimental results demonstrate that IS-EO exhibits stronger search ability and faster running speed, and it can effectively address engineering problems.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Computer Science, Software Engineering
J. Aswini et al.
Summary: Cloud computing provides on-demand access to computer resources held in remote data centers. Selecting appropriate virtual machines can maximize resource usage and reduce task execution time. The O-LEO algorithm is used to optimize VM selection for efficient cloud-based healthcare services, with boosted SVM improving prediction results for chronic kidney disease.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Sachin Minocha et al.
Summary: The paper proposes a modified equilibrium optimizer algorithm (MEO) by incorporating three changes in the original equilibrium optimizer (EO), which enhances its exploration capabilities and optimization balance. Through various tests and comparisons, MEO has been shown to outperform other algorithms in terms of balanced exploration and exploitation abilities.
Article
Computer Science, Artificial Intelligence
Salima Ouadfel et al.
Summary: This study introduces a hybrid feature selection method that combines ReliefF filter method with Equilibrium Optimizer (EO) metaheuristic method, conducting feature weight estimation and feature search in two phases, and demonstrates its superiority through evaluations on 16 UCI datasets and 10 high dimensional biological datasets.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Civil
Seyed Bahram Beheshti Aval et al.
Summary: Beam-column joints are crucial for maintaining the integrity and stability of frame structures. This study proposes a new two-stage method for joint damage identification, which integrates the damage indicator RMBJDI with the EO algorithm to accurately localize and quantify joint damage in frame structures.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Optics
Zhiyu Zhou et al.
Summary: This paper proposes a color constancy algorithm based on an improved equilibrium optimizer (IEO) to optimize the network structure parameters and common parameters of the regularized random vector functional link (RRVFL) simultaneously. The algorithm achieves light source color prediction and image correction by calculating output weights, and experimental results demonstrate its high accuracy and stability.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
(2022)
Article
Computer Science, Information Systems
N. P. Ansingkar et al.
Summary: This study presents an innovative methodology for detecting Alzheimer's disease in brain images. By utilizing preprocessing, segmentation, feature extraction, and detection stages, this method achieves improved performance compared to existing techniques in terms of accuracy, sensitivity, specificity, and more.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: A hybridized method using SVR method and EO optimizer is proposed for predicting the closing prices of the Egyptian Exchange, achieving superior results compared to other models.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Amit Kumar et al.
Summary: In this research, the modified equilibrium optimization (MEO) algorithm is proposed for load frequency control in a two-area hybrid distributed power system. The MEO-based MS-PID controller shows superior performance compared to other controllers in frequency regulation.
Article
Engineering, Civil
Abidhan Bardhan et al.
Summary: This study proposes a high-performance machine learning model, combining the modified equilibrium optimizer and extreme learning machine, to predict the soil compression index. The experimental results demonstrate the model's superior accuracy compared to other models.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Computer Science, Interdisciplinary Applications
M. Premkumar et al.
Summary: This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) algorithm to tackle complex optimization problems. The MOEO algorithm combines the ideas of Equilibrium Optimizer (EO) and the crowding distance mechanism and non-dominated sorting strategy in multi-objective metaheuristic algorithms. The results show that the MOEO algorithm outperforms other algorithms in various optimization problems.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Review
Computer Science, Artificial Intelligence
Rebika Rai et al.
Summary: This paper provides a review of novel NIOA developed in the last three years (2019-2021) and explores the major challenges encountered during the development of image multi-thresholding models based on NIOA.
Article
Engineering, Biomedical
Essam H. Houssein et al.
Summary: Optimization is the process of searching for the best solution among a wide range of options. Metaheuristic algorithms have gained popularity due to their efficiency and ease of implementation. In this study, an improved equilibrium optimizer is proposed, which combines standard operators with dimension learning hunting. The algorithm is tested on benchmark functions and applied to the segmentation of COVID-19 CT images, showing superior performance in both tasks.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Computer Science, Hardware & Architecture
Sachin Minocha et al.
Summary: This paper proposes a new phishing detection system using AV-BMEO and k-nearest neighbor classifier, which improves the accuracy and performance of phishing website detection through feature selection and classifier optimization.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Automation & Control Systems
Monorama Swain et al.
Summary: This paper proposes a multilevel threshold selection method based on differential exponential entropy (DEE) to address the challenges of edge loss, insufficient retention of spatial correlation information, and accuracy reduction due to logarithmic function in traditional approaches. The method uses normalized local variance in histogram construction to suppress high magnitude peaks, and introduces a new objective function and optimizer to maximize DEE. Experimental results show that the proposed method outperforms other techniques in terms of image quality assessment metrics.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to address global, combinatorial, engineering, and multi-objective optimization problems. By integrating four effective exploring phases, the new self-EO algorithm overcomes the potential shortcomings of the original EO and achieves better results compared to other nine metaheuristic algorithms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ehsan Heidari et al.
Summary: This paper proposes a novel clustering and routing method based on genetic algorithms and equilibrium optimization to reduce energy consumption in wireless sensor networks (WSNs) in the Internet of Things (IoT) field. The method outperforms other methods in terms of energy consumption, network lifespan, and the number of packages delivered.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Hichem Haouassi et al.
Summary: This study proposes a rule-based approach for generating CAD diagnosis models using a novel discrete equilibrium optimizer algorithm. The results show that the generated diagnosis model is more accurate and interpretable, outperforming both white-box and black-box models.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Masoud Ahmadipour et al.
Summary: A novel intelligent scheme using the wavelet packet transform and extreme learning machine is proposed for fault event classification in the grid-connected photovoltaic system. Through optimization mechanism and comprehensive evaluation, the scheme exhibits excellent classification accuracy under different conditions.
Article
Green & Sustainable Science & Technology
W. Y. Wang et al.
Summary: This research develops an intelligent inversion method for hydrogeological parameters based on a global optimization algorithm. Multiple case studies demonstrate the reliability and efficiency of the proposed method in accurately and quickly obtaining hydrogeological parameters.
Article
Green & Sustainable Science & Technology
Zhouxin Lan et al.
Summary: In this paper, an improved equilibrium optimizer (IEO) is proposed to solve the optimal power flow (OPF) problem. The algorithm enhances information interaction between individuals by using the chaotic equilibrium pool and introduces a nonlinear dynamic generation mechanism to balance global search and local development capabilities. The improved algorithm also uses the golden sine strategy to update individual positions and enhance the algorithm's ability to break out of local optima.
Article
Engineering, Multidisciplinary
Murat Cikan et al.
Summary: The Equilibrium Optimizer (EO) algorithm is applied to power distribution network reconfiguration (PDNR) and has been shown to outperform other algorithms in terms of lower error rates and successful global optima attainment. The algorithm's standard deviations demonstrate its consistent performance across different test systems, making it a competitive, efficient, and promising solution for PDNR.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Muqthiar Ali Shaik et al.
Summary: This paper discusses the method of improving system efficiency by reconfiguring the distribution network and installing distributed generation units. An equilibrium optimizer is used to determine the optimal location for DG and perform reliability analysis. The implemented method results in substantial improvement in voltage profile, reduction in power loss, and enhancement of system reliability indexes.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Mohammed Amroune
Summary: This paper uses the equilibrium optimization algorithm to solve the power flow problem by combining stochastic wind power with conventional thermal power generators. The objective is to minimize generation costs, active power loss, voltage deviation, and emissions. The comparative study shows that the EO algorithm achieves the best results.
ENERGY ECOLOGY AND ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Rebika Rai et al.
Summary: Despite advances in science, our understanding of the human brain is incomplete. Integrating human intelligence into optimization techniques can provide solutions to real-world optimization problems. Human-inspired optimization algorithms (HIOAs) have emerged, but researchers face challenges in selecting the appropriate algorithm and addressing open research issues. This paper distinguishes HIOAs based on criteria and explores their building blocks.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Engineering, Chemical
Pulakraj Aryan et al.
Summary: In this paper, a novel IMC-PD double-loop control strategy is proposed for unstable and integrating plants with dead time. The strategy improves the dynamic response by optimizing the parameters of the PD controller and IMC controller, and its advantages are demonstrated through benchmark models.
INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Javaria Amin et al.
Summary: Diabetic retinopathy (DR) is the leading cause of blindness among diabetics, and early detection can reduce vision impairment. This study proposes a deep learning-based method for early stage detection of DR, using segmentation and classification phases. The results demonstrate superior performance compared to recent studies.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ahmad Eid et al.
Summary: This paper introduces an enhanced Equilibrium Optimizer algorithm for optimal allocation of PV-BES units to reduce total system power and energy losses. Detailed modeling of PV modules and battery energy system is provided, with the EEO algorithm showing superior performance in convergence speed and optimal values compared to other algorithms.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Weng-Hooi Tan et al.
Alexandria Engineering Journal
(2022)
Article
Acoustics
Behrouz Safa et al.
Summary: In this paper, a two-step approach is suggested to improve the accuracy and efficiency of the damage detection method by reducing the problem size in the model updating process. The method identifies potentially damaged elements using a strain-based index in the first step and determines the damage severities using an iterative model-updating process in the second step. The Equilibrium Optimizer is used to detect the unknown variables, and the method is validated with numerical examples and experimental verification.
SHOCK AND VIBRATION
(2022)
Article
Multidisciplinary Sciences
Shihong Yin et al.
Summary: This paper proposes a hybrid equilibrium optimizer slime mould algorithm (EOSMA) to efficiently solve the inverse kinematics problem of complex manipulators. A multi-objective version of EOSMA (MOEOSMA) is also introduced. Experimental results comparing with other algorithms reveal that this method performs well in terms of accuracy and computation time.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Ngoc Anh Nguyen et al.
Summary: The paper proposes an improved equilibrium optimizer (IEO) algorithm for solving the optimal power flow problem with a renewable energy source, which enhances performance by replacing the exponential term and maintaining exploration ability. Through testing on different systems and comparing with other algorithms, the proposed IEO algorithm demonstrates its effectiveness and stability.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Mahmoud Hemeida et al.
Summary: This paper proposes a method based on hybrid genetic algorithms and equilibrium optimizer to solve the reactive power dispatch (RPD) optimization problem. Experimental results demonstrate the effectiveness of this method on both small and large-scale power systems.
Article
Multidisciplinary Sciences
Lin Yang et al.
Summary: Big Data, core of machine learning, is reshaping our lives by analyzing vast amounts of data. Evolutionary computation, such as the equilibrium optimizer (EO), shows advantages in solving complex optimization problems. This paper proposes an improved equilibrium optimizer (IEO) that maintains higher population diversity and achieves a better search balance by using a decreasing equilibrium pool. The performance of IEO is validated in various benchmark functions and practical problems. The changes in population diversity and computational complexity are also analyzed.
Article
Energy & Fuels
Mohamed Hashem et al.
Summary: This paper aims to improve the reliability and security of a radial distribution system supported by wind turbine generators and superconducting magnetic energy storages. It evaluates various indices to assess the system's reliability and security, and proposes a multi-objective function to minimize these indices using a hybrid approach. The sizing and sitting of generators and energy storages as well as their power optimization are optimized using a bi-level approach. The effectiveness of the proposed approach is validated and compared with other algorithms, demonstrating significant improvement in the reliability and security of the distribution system.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Artificial Intelligence
Utkarsh Agrawal et al.
Summary: The problem of feature selection involves selecting the most informative subset of features that have the most impact in classification. This paper proposes a novel variant of the Equilibrium Optimizer called Normalized Mutual Information-based equilibrium optimizer (NMIEO) for feature selection. The proposed method incorporates a local search strategy based on Normalized Mutual Information and utilizes Chaotic maps for population initialization. Experimental results demonstrate the superior performance of NMIEO compared to other competitive methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Sachin Minocha et al.
Summary: This study proposes a framework for hyperspectral image (HSI) classification using a binary modified equilibrium optimizer. The framework preprocesses the HSI data with a Gaussian filter and enhances the optimizer's exploration capabilities with a V-shape transfer function. Experimental results demonstrate the superiority of the proposed framework in terms of classification accuracy on the Indian pine, Pavia University, and Salinas datasets, highlighting its significance.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Computer Science, Software Engineering
Basma Mohamed et al.
Summary: This paper addresses the NP-hard problem of finding the minimum connected domination metric dimension of graphs and proposes a heuristic algorithm to compute the minimum connected dominant resolving set of graphs. Experimental results show that the proposed algorithm outperforms other competitive algorithms.
SCIENTIFIC PROGRAMMING
(2022)
Article
Energy & Fuels
Mohamed Yehia et al.
Summary: This paper proposes a fuzzy-metaheuristic strategy to optimize the size and location of distributed generators (DGs). It introduces a multi-objective function for minimizing power losses and enhancing voltage characteristics. The proposed strategy is compared with other algorithms to demonstrate its superiority and reliability.
Article
Energy & Fuels
Bao-cai Yu et al.
Summary: This paper establishes a multi-objective optimization model for mine ventilation systems and proposes an R2 index hybrid multi-objective equilibrium optimization algorithm. Experimental results demonstrate the effectiveness and practicality of the algorithm.
Article
Engineering, Multidisciplinary
Omima M. Bakry et al.
Summary: The distribution networks are a critical part of the power system that requires optimization to improve performance and achieve reliability and economic cost. Genetic algorithms are commonly used, but their limitations in balancing exploration and exploitation can be overcome through hybrid strategies. This study presents a hybrid optimization technique, combining genetic algorithms with an equilibrium optimizer, to improve the performance of radial distribution networks.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Mathematics
Minh-Quang Tran et al.
Summary: This study aims to develop an accurate dynamic cutting force model for milling process and address the issue of machining instability. By using the equilibrium optimizer approach, the model achieves higher prediction accuracy. Furthermore, it can help investigate cutting stability and prevent chatter phenomenon by selecting optimal cutting parameters.
Article
Mathematics
Yuanfei Wei et al.
Summary: In this paper, a hybrid algorithm called EOSMA is proposed to solve the Job Shop Scheduling Problem (JSSP). The algorithm combines the update strategy of Equilibrium Optimizer (EO) with Slime Mould Algorithm (SMA) to achieve a better balance between exploration and exploitation. The addition of Centroid Opposition-based Computation (COBC) improves exploration and exploitation, increases population diversity, enhances convergence speed and accuracy, and prevents falling into local optima. The algorithm also introduces a Sort-Order-Index (SOI)-based coding method and a neighbor search strategy to improve the efficiency of solving JSSP. Experimental results and statistical analysis demonstrate that EOSMA outperforms other competing algorithms.
Article
Construction & Building Technology
Afshin Faramarzi et al.
Summary: This study proposes a binary version of the Equilibrium Optimizer (EO) and evaluates its performance in mathematical benchmark functions and building control problems. The results show that BiEO exhibits fast convergence and high efficiency in most cases.
ENERGY AND BUILDINGS
(2022)
Article
Computer Science, Information Systems
Sharif Naser Makhadmeh et al.
Summary: The power schedule problem (PSP) is a complex and high-constraint scheduling problem that aims to manage, control, and schedule power consumption of electrical appliances/devices. This paper proposes a method called White Shark Equilibrium Optimizer (WSEO) to optimize the PSP efficiently by hybridizing different optimization components.
Article
Computer Science, Information Systems
Gary W. Chang et al.
Summary: This paper presents an Equilibrium Optimizer (EO)-based method for determining the locations and sizes of photovoltaic (PV) units in order to maximize the PV hosting capacity of a distribution system. The proposed method is implemented through co-simulation and considers the variation in PV output and load demand, as well as the volt-var control scheme of smart inverters. Testing on the IEEE 123-bus benchmark system shows that the EO method outperforms other optimization algorithms.
Article
Computer Science, Information Systems
Ahmed Saeed Abdelrazek et al.
Summary: Perovskite solar cells (PSCs) are a third-generation photovoltaic technology with technological and economic advantages. A new dynamic model is proposed to accurately simulate the performance of PSCs by incorporating a variable voltage capacitor. Experimental results show that the proposed model closely reflects the actual performance of the cells.
Proceedings Paper
Computer Science, Artificial Intelligence
Farajollah Tahernezhad-Javazm et al.
Summary: Multi-objective evolutionary algorithms can be classified into three groups: domination-based, decomposition-based, and indicator-based algorithms. Hybrid algorithms have gained popularity as they can overcome the limitations of basic algorithms by combining different operators and structures. This paper presents a hybrid multi-objective evolutionary algorithm (R2-HMEWO) based on the whale optimization algorithm and equilibrium optimizer. The algorithm selects elite individuals using the R2-indicator and shifted density estimation-based method and uses a reference points method to enhance solution diversity. The proposed algorithm outperforms other state-of-the-art algorithms on most test problems, demonstrating its competitive performance and statistical significance.
2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
(2022)
Article
Computer Science, Information Systems
Xuefeng Wang et al.
Summary: Equilibrium Optimizer (EO) is an intelligent optimization algorithm with excellent solution effect and strong adaptability. However, it has some limitations when dealing with complex multimodal problems. To address these issues, a modified equilibrium optimizer (OTLEO) has been proposed and its superiority over the original EO and other algorithms has been demonstrated through testing and comparative evaluation.
Article
Multidisciplinary Sciences
Lingzhi Yi et al.
Summary: This paper proposes a model for optimal scheduling system of building load and introduces a multi-objective equilibrium optimizer algorithm with competition mechanism. The experimental results show that the algorithm has fast convergence speed, strong merit-seeking ability, and better population diversity. In addition, configuring a photovoltaic energy storage system helps reduce the cost of electricity for building residents and serves the purpose of peak-shaving and valley-filling.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Shihong Yin et al.
Summary: This paper proposes a new algorithm called EOSMA, which uses an equilibrium optimizer (EO) to guide the slime mould algorithm (SMA) for improved efficiency in search optimization. The results show that EOSMA outperforms several comparison algorithms in terms of solution accuracy, speed, and robustness, and is able to find feasible solutions satisfying constraints in various test functions and engineering design problems.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ammar H. Elsheikh et al.
Summary: In this study, an enhanced RVFL algorithm was used to predict kerf quality indices during CO(2) laser cutting of PMMA sheets. The predicting model includes gas pressure, sheet thickness, laser power, and cutting speed as input variables, and five kerf quality indices. Experimental results showed that the RVFL-EO model has good predicting ability.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Artificial Intelligence
Taymaz Rahkar Farshi
Summary: This study introduces a new metaheuristic optimization algorithm BRO inspired by the battle royale game genre. Experimental results on 19 benchmark optimization functions and the inverse kinematics problem show that the proposed algorithm is competitive and efficient in terms of convergence and accuracy.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Essam H. Houssein et al.
Summary: The use of solar photovoltaic systems as a clean and affordable energy source is increasing. Research challenges include finding the optimal model for solar cell parameters and a lack of data. The study proposes an optimization algorithm using the Improved Equilibrium Optimizer to accurately estimate solar cell parameters.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Mohammed Azmi Al-Betar et al.
Summary: The proposed CHIO algorithm is inspired by the concept of herd immunity, incorporating social distancing strategies and modeling susceptible, infected, and immuned individuals to optimize solutions. Evaluation on 23 benchmark functions shows competitive results compared to other methods. Additionally, real-world engineering optimization problems confirm the efficiency of CHIO in tackling various optimization domains.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset et al.
Summary: This study introduces a novel equilibrium optimizer algorithm for multi-objective optimization problems, which enhances the algorithm's performance by balancing the trade-off between convergence and diversity, as well as improving the exploration and exploitation factors of the algorithm.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Jingwei Too et al.
Summary: The study introduces a feature selection method called General Learning Equilibrium Optimizer (GLEO), which utilizes a general learning strategy to help particles evade local areas and improve the capability of finding promising regions.
APPLIED ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
A. M. Shaheen et al.
Summary: This paper introduces an improved equilibrium optimization algorithm for optimizing distribution networks with distributed generators. The algorithm is tested on 23 standard benchmark functions and is shown to be effective in integrating PDNR and DG simultaneously at different load levels.
APPLIED SOFT COMPUTING
(2021)
Article
Mathematics, Interdisciplinary Applications
M. A. El-Shorbagy et al.
Summary: This research implements an evolutionary-based algorithm to solve the constrained combined economic emission dispatch problem, integrating dominant criteria for multiobjective functions to detect all Pareto boundaries and conducting cluster study to compress boundary size, while using repair algorithm to address constraint infringements.
Article
Computer Science, Artificial Intelligence
Heming Jia et al.
Summary: By fusing equilibrium optimizer (EO) with thermal exchange optimization (TEO) to create a new highly balanced optimizer (HEO), this improved algorithm significantly enhances optimization accuracy. Experimental results demonstrate that, while requiring slightly more time, the algorithm exhibits high accuracy and stability, showing competitiveness and superiority in classical engineering design problems.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Energy & Fuels
Aml Sayed et al.
Summary: The paper proposes a hybrid optimization technique, MPSO-EO, to solve the unit commitment problem (UCP) under deterministic and stochastic load demand, which outperforms standard EO with significant cost savings. The simulation results demonstrate the fairly good performance of MPSO-EO in solving UCP compared to standard EO and other reported techniques.
Article
Energy & Fuels
Salil Madhav Dubey et al.
Summary: With increasing concerns about global warming, the focus on renewable energy integration in power systems is growing. The paper introduces a multiobjective model capable of finding trade-off solutions for joint optimization, considering the cost of reserve and curtailment of power from renewable sources. The Equilibrium Optimizer algorithm, introduced in 2020, has shown superior performance over established metaheuristic algorithms and can produce well-distributed Pareto-optimal solutions for decision making.
Article
Thermodynamics
Hegazy Rezk et al.
Summary: An improved design approach for fuzzy logic control systems for MPPT control of PEMFCs is proposed in this paper, utilizing the Equilibrium Optimizer method for parameter optimization. Through comparisons with other optimization methods and statistical tests, the efficiency and reliability of the proposed method are demonstrated, providing a promising solution for MPPT control in PEMFCs.
Article
Thermodynamics
Mohamed E. Zayed et al.
Summary: This study proposes an improved method combining ANFIS with EO for predicting the thermal performance parameters of SPDC, showing the best prediction accuracy among the three models and can be regarded as a powerful optimization tool for predicting the energetic performance of SPDC. The predicted results obtained by the ANFIS-EO have an excellent determination coefficient of 0.99999 for all predicted responses.
Article
Thermodynamics
Majad Mansoor et al.
Summary: A novel optimal control technique for TEG systems under non-uniform temperature distribution is proposed in this paper, which achieves higher power tracking efficiency and faster settling time through Equilibrium Optimization (EQO) optimization algorithm.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Ali Durmus et al.
Summary: In this paper, the equilibrium optimization algorithm (EOA) is successfully applied to synthesize linear antenna arrays and circular antenna arrays, achieving a radiation pattern with low maximum side lobe level and narrow half-power beam width. The EOA optimally determines the amplitude and position values of array elements to achieve the desired radiation pattern.
INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES
(2021)
Article
Engineering, Chemical
Abd Allah A. Mousa et al.
Summary: The article proposes a constrained equilibrium optimizer algorithm based on chaotic search (CS-CEOA), which combines a novel heuristic method with a chaos theory-based local search algorithm to solve general non-linear programming problems. The algorithm consists of two phases, with the first phase aiming to detect an approximate solution and the second phase using a chaos-based search algorithm to improve local search performance for the best optimal solution.
Article
Energy & Fuels
Salah K. ElSayed et al.
Summary: This paper introduces an equilibrium optimizer (EO) technique for solving energy management problems in micro-grids, showing its effectiveness in minimizing operating costs and emissions compared to other techniques.
Article
Environmental Sciences
Phuong-Thao Thi Ngo et al.
Summary: The study proposed a data mining approach using the HE-SysFor model for flash flood prediction in tropical areas, showing superior predictive performance compared to other models. Key indicators such as elevation, slope, and land cover were identified as important factors in flash flood prediction.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset et al.
Summary: The work introduces several variants of the equilibrium optimizer for multi-objective optimization, utilizing different strategies and algorithms to achieve better results in solving multi-objective optimization problems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Abdullah Ates
Summary: An enhanced equilibrium optimization algorithm was proposed in this study by incorporating fractional order chaotic system models, showing that the use of such models improved the performance of the optimization algorithm and led to better results.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Chemistry, Analytical
An-Di Tang et al.
Summary: The paper discusses the UAV path planning problem, establishes a suitable mathematical model and efficient algorithm, and proposes a multiple population hybrid equilibrium optimizer (MHEO). The optimizer demonstrates faster convergence speed and better convergence accuracy in testing.
Article
Computer Science, Information Systems
Deyaa Ahmed et al.
Summary: This paper aims to solve energy management issues in MG systems using an EO algorithm considering variations in load demand, PV, and WT under deterministic and probabilistic conditions, achieving promising simulation results.
Article
Computer Science, Artificial Intelligence
Phu-Hung Dinh
Summary: This paper introduces two novel algorithms to address the disadvantages of current image fusion approaches. The first algorithm utilizes the Equilibrium Optimizer Algorithm (EOA) to optimize parameters for fusing low-frequency components, resulting in improved contrast in the fused image. The second algorithm uses the sum of local energy functions with the Prewitt compass operator to efficiently fuse high-frequency components, leading to preservation of detailed information from input images.
APPLIED INTELLIGENCE
(2021)
Article
Engineering, Multidisciplinary
Laith Abualigah et al.
Summary: The Arithmetic Optimization Algorithm (AOA) is a new meta-heuristic method that makes use of the distribution behavior of arithmetic operators, demonstrating promising results in solving challenging optimization problems across various search spaces.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Thermodynamics
Jingbo Wang et al.
Summary: The novel improved equilibrium optimizer proposed in this paper enhances photovoltaic cell datasets using neural networks and improves optimization performance by allocating different selection probabilities for equilibrium candidates based on fitness values. Compared to the original method, the improved optimizer achieves higher optimization precision and reliability.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Energy & Fuels
Francelin Edgar Ndi et al.
Summary: The study employs the equilibrium optimizer algorithm to identify the behavior of solar photovoltaic systems and optimize parameters based on experimental data, showing that this method can better simulate the behavior of photovoltaic solar cells and achieve minimization of the objective function.
Article
Energy & Fuels
Fukang Sun et al.
Summary: This study investigates the optimization of chiller load dispatch in HVAC systems for energy conservation using Equilibrium Optimization (EO) algorithm. The experiments demonstrate that the EO algorithm can find optimal solutions in a fewer number of iterations compared to traditional algorithms and other optimization algorithms, resulting in better optimization results.
Article
Green & Sustainable Science & Technology
Sameh Seleem et al.
Summary: The paper presents a novel and simplified model of proton electrolyte membrane fuel cells, reducing the number of unknown parameters to four for applications in nano grids, microgrids, and smart grids. The use of equilibrium optimizer algorithm and integral squared error criteria ensures the effectiveness of the model in steady-state and dynamic operating conditions. The proposed model proves to be highly accurate and efficient for precise PEMFC simulations.
Article
Computer Science, Artificial Intelligence
Gehad Ismail Sayed et al.
Summary: Feature selection is a challenging task in machine learning, and this paper introduces a novel wrapper-based algorithm using Equilibrium Optimizer and chaos theory to overcome convergence and local optima issues. By incorporating chaotic maps and varied transfer functions, the proposed hybrid algorithm shows competitive performance in selecting optimal feature subsets with minimized features and maximized classification accuracy.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Mohammad H. Soliman et al.
Summary: The Egyptian electric power system plans to increase Wind Energy penetration to 14.6% by 2035, requiring a study on the frequency dynamics and control strategies. By optimizing the control system to maximize wind energy contribution and tuning the PI controller gains using different methods, the system aims to improve load frequency control efficiency.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Asma Benmessaoud Gabis et al.
Summary: The Sine Cosine Algorithm (SCA) is a meta-heuristic algorithm inspired by trigonometric functions, known for its efficient execution time, good convergence rate, and high effectiveness in solving optimization problems. It has various variants including modified, multi-objective, and hybridized versions, and has been applied in diverse fields such as classification, image processing, robot path planning, scheduling, and radial distribution networks.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Computer Science, Artificial Intelligence
Shail Kumar Dinkar et al.
Summary: This paper introduces a modified equilibrium optimizer algorithm for segmentation of gray-scale images using opposition-based learning and Laplace distribution based random walk, showing superior performance in validation tests.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Shameem Ahmed et al.
Summary: High dimensional data poses a challenge in Data Science and Machine Learning, and feature selection is a key method to address this challenge. The proposed improved physics-based meta-heuristic algorithm for feature selection has shown superior performance compared to other state-of-the-art methods.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Materials Science, Characterization & Testing
Hammoudi Abderazek et al.
Summary: This work utilizes the equilibrium optimizer algorithm to optimize structural and mechanical problems, obtaining better and competitive results compared to recent algorithms. These results can also be applied to other studied problems.
Article
Telecommunications
R. Hemalatha et al.
Summary: In this study, the optimal loop-free route is established using Equilibrium optimizer (EO) and fuzzy logic, improving network lifetime in mobile ad hoc networks. The use of levy flight distribution mechanism for node selection has enhanced the efficiency of data transmission.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Natarajan Shankar et al.
Summary: A novel and efficient algorithm called OBEO is proposed for parameter estimation in various PV model, minimizing errors in the I-V relationship and finding optimal solutions through opposition-based learning mechanism.
JOURNAL OF COMPUTATIONAL ELECTRONICS
(2021)
Article
Multidisciplinary Sciences
Pu Lan et al.
Summary: An improved Equilibrium Optimizer (IEO) algorithm, with enhanced global search capability through adaptive weights and convergence factors, showed superior performance on 25 benchmark functions and oil layer prediction using LSTM networks. The results indicated that the proposed IEO model outperformed popular optimization algorithms like PSO and GA in terms of accuracy and error metrics.
Article
Engineering, Multidisciplinary
TechniqueAbdelhady Ramadan et al.
Journal of Engineering Research
(2021)
Article
Chemistry, Multidisciplinary
Bishwajit Roy et al.
Summary: This paper proposes an integrated model EO-ELM and a deep neural network DNN for one day-ahead rainfall-runoff modeling, validated at two benchmark stations in the UK. The experimental results show the efficiency and robustness of EO-ELM and DNN compared to other models for daily R-R modeling.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Mohamed Hashem et al.
Summary: This paper determines the optimal placement and sizing of WTGs and SMESs in a distribution system using a proposed multi-objective-function based optimization method. Results show that the combination of WTGs and SMESs can significantly improve the performance of the distribution system.
JOURNAL OF ENERGY STORAGE
(2021)
Proceedings Paper
Computer Science, Information Systems
Mojtaba Ahanch et al.
Summary: This paper introduces a new method for integrated Volt/Var control and Conservation Voltage Reduction in unbalanced power distribution networks considering high penetration of PV generation. The study aims to improve energy conservation, minimize busses voltage deviations, and reduce legacy device operations through implementing smart PV inverters. Simulation results authenticate the efficacy of the proposed method and demonstrate a considerable increase in energy saving and power loss reduction.
2021 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Chunzhi Hou et al.
Summary: The dendritic neuron model (DNM) is a logical neuron model based on dendrites, trained to sort data by mimicking the mechanisms of transmitting information in biological nerves. Using an equilibrium optimizer inspired by physical phenomena can improve the accuracy of the DNM solution, as shown in experiments on real-world classification problems.
PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC)
(2021)
Article
Engineering, Electrical & Electronic
Martin Calasan et al.
Summary: This paper investigates the impact of regulator parameters on the excitation voltage and current values, and presents a novel algorithm and regulator design. Experimental results demonstrate that limiting excitation voltage increases the settling time of generator voltage during reference changes.
Article
Computer Science, Information Systems
Dina A. Elmanakhly et al.
Summary: In the last decade, challenges have arisen in various fields such as data mining and data science due to high-dimensional datasets and the rapid growth of data volume. The study proposes an improved equilibrium optimizer algorithm (IBEO) with enhancements in diversity and exploitation to address the feature selection problem. Comparative tests with different algorithms show the effectiveness of IBEO in handling high-dimensional datasets and large data volumes.
Proceedings Paper
Engineering, Electrical & Electronic
Ahmed S. Al-akayshee et al.
Summary: This study focuses on using a hybrid system to meet the electricity demand in a rural area in Iraq. A techno-economic study was conducted, and the Equilibrium Optimization (EO) algorithm was used to determine the optimal size of the generating units. The simulation results confirmed the technical feasibility of the system and the reliability of the proposed algorithm.
PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS)
(2021)
Article
Computer Science, Information Systems
Abdullah M. Shaheen et al.
Summary: The article introduces a new application of the Forensic-Based Investigation Algorithm (FBIA) to accurately extract the electrical parameters of different PV models, which is validated through numerical analysis.
Article
Mathematics, Interdisciplinary Applications
Zenab Mohamed Elgamal et al.
Summary: The study introduces an Equilibrium Optimization Algorithm (EOA) for feature selection in high-dimensional medical datasets, and proposes an improved version named Improved Equilibrium Optimization Algorithm (IEOA) to enhance population diversity, classification accuracy, and selected features. The IEOA outperforms the original EOA and other optimization algorithms in terms of performance across a majority of tested datasets.
Article
Mathematical & Computational Biology
Hong Qi et al.
Summary: This paper proposes a hybrid equilibrium optimizer algorithm for multi-level image segmentation, which improves the optimization ability of the original algorithm and shows good performance in various evaluation metrics during experiments.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Sundaram B. Pandya et al.
Summary: This study recommends a new approach for solving single-objective optimal power flow problems by combining renewable energy resources such as solar and wind power with conventional coal-based power stations. The Equilibrium Optimizer (EO) has been found to outperform other optimization algorithms in solving RER-OPF problems, providing the best value under different evaluation criteria.
Article
Computer Science, Information Systems
Ashraf Mostafa et al.
Summary: The paper proposes an efficient optimizer named Levy Spiral Flight Equilibrium Optimizer (LSFEO) to solve the optimal power flow (OPF) problem and determine the optimal allocation of Centre Node Unified Power Flow Controller (CUPFC). This algorithm is based on developing the Equilibrium Optimizer (EO) and utilizes two searching strategies to enhance exploration and exploitation processes.
Article
Multidisciplinary Sciences
Rajendra Kumar Khadanga et al.
Summary: In this research, a novel approach using a modified equilibrium optimization algorithm (MEO) Algorithm-based Interval Type-2 Fuzzy proportional integral derivative Controller (IT2FPID) structure is proposed for frequency control of an AC microgrid. The performance of the MEO algorithm is tested and compared with standard EO algorithm by considering various benchmark test functions, showing that the MEO-based IT2FPID controller is more effective.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Zonglin Fu et al.
Summary: The Equilibrium Optimizer (EO) algorithm is a novel meta-heuristic algorithm based on physics, and a Parallel Equilibrium Optimizer algorithm (PEO) is proposed in this paper. PEO demonstrates excellent global search capabilities and outperforms other algorithms in exploration and exploitation abilities in empirical studies on various benchmark functions.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2021)
Article
Computer Science, Information Systems
M. Premkumar et al.
Summary: The Equilibrium Optimizer (EO), Grey Wolf Optimizer (GWO), and Whale Optimizer (WO) algorithms are applied to a brushless direct current (BLDC) design optimization problem, aiming to minimize the motor's total mass or maximize the motor efficiency while satisfying six inequality constraints. Simulation results demonstrate the dominance of the proposed algorithms in efficiency and effectiveness.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Information Systems
Mohammed Kharrich et al.
Summary: This paper introduces a new method for designing a hybrid microgrid based on Equilibrium Optimizer (EO) to reduce costs, improve stability, and adapt to different climate conditions. The results show that using EO achieves 97% of annual contributions and has fast convergence characteristics.
Article
Engineering, Electrical & Electronic
Dipayan Guha et al.
Summary: This paper introduces a novel CC-FOC controller utilizing 3DOF-PID and TID controllers, tuning parameters concurrently with an equilibrium optimizer, to enhance load frequency control performance in interconnected power systems. Simulation results demonstrate significant improvement compared to existing controllers.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Amin Foroughi Nematollahi et al.
Article
Computer Science, Artificial Intelligence
Afshin Faramarzi et al.
KNOWLEDGE-BASED SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Abhishek Khatri et al.
Article
Computer Science, Artificial Intelligence
M. Mohammadi et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2020)
Article
Computer Science, Artificial Intelligence
Fernando Fausto et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2020)
Article
Computer Science, Artificial Intelligence
Ali Wagdy Mohamed et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Computer Science, Artificial Intelligence
Afshin Faramarzi et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Automation & Control Systems
Aneesh Wunnava et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Article
Energy & Fuels
Mohamed Abdel-Basset et al.
Article
Physics, Condensed Matter
Abdelaziz Rabehi et al.
SUPERLATTICES AND MICROSTRUCTURES
(2020)
Article
Engineering, Multidisciplinary
Dalia T. Abdul-hamied et al.
ALEXANDRIA ENGINEERING JOURNAL
(2020)
Article
Computer Science, Hardware & Architecture
Mihailo Micev et al.
COMPUTERS & ELECTRICAL ENGINEERING
(2020)
Article
Energy & Fuels
Khaled Nusair et al.
Article
Computer Science, Artificial Intelligence
Amir Shabani et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Mathematical & Computational Biology
Hao Chen et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2020)
Proceedings Paper
Energy & Fuels
Mostafa Bastawy et al.
2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC)
(2020)
Article
Computer Science, Information Systems
Arijit Dey et al.
Article
Computer Science, Information Systems
Yuanyuan Gao et al.
Article
Computer Science, Artificial Intelligence
Weiguo Zhao et al.
KNOWLEDGE-BASED SYSTEMS
(2019)
Article
Computer Science, Theory & Methods
Fatma A. Hashim et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Article
Computer Science, Artificial Intelligence
Esmat Rashedi et al.
SWARM AND EVOLUTIONARY COMPUTATION
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Article
Computer Science, Artificial Intelligence
Sinem Akyol et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2017)
Article
Computer Science, Artificial Intelligence
Yaoming Zhou et al.
Article
Computer Science, Artificial Intelligence
Seyed Jalaleddin Mousavirad et al.
APPLIED INTELLIGENCE
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Article
Computer Science, Interdisciplinary Applications
A. Kaveh et al.
ADVANCES IN ENGINEERING SOFTWARE
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Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili et al.
NEURAL COMPUTING & APPLICATIONS
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Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili
NEURAL COMPUTING & APPLICATIONS
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Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2016)
Article
Engineering, Electrical & Electronic
Yacine Labbi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2016)
Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2016)
Article
Computer Science, Artificial Intelligence
Hosein Abedinpourshotorban et al.
SWARM AND EVOLUTIONARY COMPUTATION
(2016)
Article
Computer Science, Interdisciplinary Applications
Ali Husseinzadeh Kashan
COMPUTERS & OPERATIONS RESEARCH
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Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2015)
Article
Computer Science, Artificial Intelligence
Hamid Salimi
KNOWLEDGE-BASED SYSTEMS
(2015)
Proceedings Paper
Computer Science, Artificial Intelligence
E. Emary et al.
AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT, AECIA 2014
(2015)
Article
Computer Science, Information Systems
Gai-Ge Wang et al.
INFORMATION SCIENCES
(2014)
Article
Computer Science, Artificial Intelligence
H. Karami et al.
NEURAL COMPUTING & APPLICATIONS
(2014)
Article
Computer Science, Artificial Intelligence
Hao Zhang et al.
Article
Computer Science, Interdisciplinary Applications
A. Kaveh et al.
COMPUTERS & STRUCTURES
(2012)
Article
Computer Science, Interdisciplinary Applications
Xin-She Yang et al.
ENGINEERING COMPUTATIONS
(2012)
Article
Computer Science, Artificial Intelligence
Albert Y. S. Lam et al.
Article
Computer Science, Software Engineering
R. V. Rao et al.
COMPUTER-AIDED DESIGN
(2011)
Article
Computer Science, Artificial Intelligence
Bilal Alatas
EXPERT SYSTEMS WITH APPLICATIONS
(2011)
Article
Engineering, Electrical & Electronic
Shaya Karimkashi et al.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2010)
Article
Computer Science, Artificial Intelligence
Liping Xie et al.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2010)
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Computer Science, Information Systems
Esmat Rashedi et al.
INFORMATION SCIENCES
(2009)
Proceedings Paper
Computer Science, Artificial Intelligence
Esmaeil Atashpaz-Gargari et al.
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS
(2007)
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Engineering, Electrical & Electronic
R. A. Formato
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER
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Computer Science, Interdisciplinary Applications
OK Erol et al.
ADVANCES IN ENGINEERING SOFTWARE
(2006)
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Operations Research & Management Science
SI Birbil et al.
JOURNAL OF GLOBAL OPTIMIZATION
(2003)
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Agriculture, Multidisciplinary
H Murase
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2000)
