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Article
Chemistry, Multidisciplinary
Rabia Musheer Aziz et al.
Summary: Recently, fraudulent practices such as phishing, bribery, and money laundering have become significant challenges to trade security as online trade expands. In this study, a deep learning model was developed using a unique metaheuristic optimization strategy, Optimized Genetic Algorithm-Cuckoo Search (GA-CS), to reliably detect fraudulent transactions. The suggested technique and support vector classification (SVC) models demonstrated the highest accuracy and efficiency in detecting fraudulent behavior on Ethereum.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Tanmay Kundu et al.
Summary: Harris Hawks Optimization (HHO) is a swarm optimization technique that mimics the behavior of Harris hawks, but it may get trapped in local search space. An improved hybrid method, ITLHHO, has been developed to significantly outperform other algorithms and become a promising tool for various optimization problems.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Chemistry, Analytical
Pavel Trojovsky et al.
Summary: This paper introduces a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) to solve optimization problems in various scientific disciplines. By simulating the natural behavior of pelicans during hunting, the POA demonstrates high performance in approaching optimal solutions for unimodal functions and exploring the main optimal area for multimodal functions. Comparison with eight well-known metaheuristic algorithms confirms the competitiveness of POA in providing optimal solutions for optimization problems.
Article
Green & Sustainable Science & Technology
Mahdiyeh Eslami et al.
Summary: This paper presents an effective hybrid optimization technique for the coordinated design of power system stabilizers and static VAR compensator based controllers. The proposed method combines a chaotic sine cosine algorithm and pattern search to handle the nonlinearity of power networks. Numerical investigations demonstrate that the proposed method provides better optimal damping and outperforms previous methods.
Article
Computer Science, Information Systems
Olaide Nathaniel Oyelade et al.
Summary: This study proposes a novel bio-inspired and population-based optimization algorithm named Ebola Optimization Search Algorithm (EOSA) based on the propagation mechanism of the Ebola virus disease. The algorithm outperforms popular metaheuristic algorithms such as Particle Swarm Optimization Algorithm (PSO), Genetic Algorithm (GA), and Artificial Bee Colony Algorithm (ABC) in terms of scalability, convergence, and sensitivity analyses. The algorithm is also successfully applied to the problem of selecting the best combination of convolutional neural network (CNN) hyperparameters in the image classification of digital mammography.
Article
Engineering, Multidisciplinary
Sourav Basak et al.
Summary: This article evaluates the dynamic economic emission dispatch (DEED) approach for two large test systems. Two different approaches, the price-penalty factor (PPF) method and fractional programming (FP) method, were studied and compared. The results show that the FP method is more effective in reducing environmental harm than the PPF method.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
(2022)
Article
Energy & Fuels
Raja Kumar Vandrasi et al.
Summary: With the increasing need for efficient energy conversion devices, there is a growing interest in deriving accurate equivalent circuits for solar photovoltaic (PV) modules. PV panel manufacturers provide critical data on the current-voltage (I-V) characteristics for standard temperature conditions. However, when it comes to different environmental/operational conditions, deriving equivalent mathematical models for PV modules becomes complex. This study proposes a novel hybrid meta-heuristic algorithm, called HCSCA, for extracting PV panel equivalent circuit parameters, which shows promising results for different types of PV modules.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Computer Science, Artificial Intelligence
Iman Ahmadianfar et al.
Summary: This study presents the analysis and principle of an innovative optimizer called INFO, which utilizes the weighted mean method to optimize different problems. The results show that INFO outperforms other methods in terms of exploration and exploitation, and is capable of converging to satisfactory solutions in engineering problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Akash Saxena
Summary: In this paper, an intelligent harmonic estimator based on an improved version of crow search algorithm is proposed for identification of inter, sub and power harmonics. The proposed algorithm, named ACSA, incorporates acceleration factor driven and opposition-based learning for optimization. Experimental results show that the proposed version is competitive compared to other contemporary algorithms and crow search variants.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Fatma A. Hashim et al.
Summary: In recent years, various metaheuristic algorithms have been introduced in engineering and scientific fields to solve real-life optimization problems. This study proposes a novel nature-inspired metaheuristic algorithm called Snake Optimizer (SO), which imitates the mating behavior of snakes to tackle different optimization tasks. Experimental results demonstrate the effectiveness and efficiency of SO compared to other algorithms in terms of exploration-exploitation balance and convergence speed.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Energy & Fuels
Hussein Abdel-Mawgoud et al.
Summary: Battery energy storage allocation and sizing in radial distribution system (RDS) is investigated using a hybrid methodology combining arithmetic optimization algorithm and sine cosine approach (AOA-SCA). The proposed approach proves to be superior in minimizing network power loss.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Mathematics
Adel Fahad Alrasheedi et al.
Summary: In this study, a chaos embed marine predator algorithm (CMPA) is proposed for feature selection in data mining applications. The comparative analysis and statistical significance tests provide evidence for the effectiveness and applicability of the proposed algorithm.
Article
Computer Science, Artificial Intelligence
Vahid Goodarzimehr et al.
Summary: This paper proposes a novel metaheuristic optimization algorithm called Special Relativity Search (SRS), which utilizes the theory of special relativity physics to determine the coordinates of charged particles. By calculating particle interactions using the Lorentz force and angular frequency, SRS demonstrates higher efficiency and robustness in solving optimization problems compared to other popular metaheuristic algorithms.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Mathematics
Akash Saxena et al.
Summary: This paper presents the application of Support Vector Machine (SVM) in classifying power quality events using well-known signal processing techniques. The results show that SVM with attributes from both signal-processing techniques gives satisfactory results.
Article
Mathematics
Khalid Abdulaziz Alnowibet et al.
Summary: Metaheuristics, including bio-inspired ones, have been widely used to solve complex optimization problems. In this paper, a variant of the popular Whale Optimization Algorithm (WOA) called the Augmented Whale Optimization Algorithm (AWOA) is proposed. The AWOA incorporates opposition-based learning and Cauchy mutation operator to improve the exploration and exploitation capabilities of WOA. Experimental results and analyses demonstrate that the proposed AWOA outperforms the original WOA and achieves better optimization performance for both benchmark functions and real-world problems.
Article
Computer Science, Interdisciplinary Applications
Tanmay Kundu et al.
Summary: This paper presents a novel hybrid algorithm LSMA-TLBO for solving numerical and engineering design optimization problems. The algorithm combines the features of Slime Mould Algorithm and Teaching-Learning Based Optimization to balance exploitation and exploration ability, with the introduction of a levy flight based mutation to maximize exploration ability.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Computer Science, Interdisciplinary Applications
Amir Seyyedabbasi
Summary: This paper introduces a novel hybrid algorithm, WOASCALF, which combines the whale optimization algorithm (WOA) and the Sine Cosine Algorithm (SCA). WOASCALF outperforms other algorithms in terms of exploration ability, and solves the issue of leaps at each phase by introducing the levy flight distribution.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Automation & Control Systems
Liying Wang et al.
Summary: This paper proposes a new bio-inspired meta-heuristic algorithm called artificial rabbits optimization (ARO), which is inspired by the survival strategies of rabbits in nature. ARO algorithm is developed by mathematically modeling these survival strategies to create a new optimizer. The effectiveness of ARO is tested and compared with other optimizers, showing superior performance in solving benchmark functions and engineering problems. Moreover, ARO is applied to the fault diagnosis of a rolling bearing, demonstrating its practicality in solving real-world problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Energy & Fuels
Ramesh Devarapalli et al.
Summary: This study proposes a novel hybrid optimization algorithm for extracting parameters of solar PV modules. The algorithm is validated on different types of PV modules and demonstrates its effectiveness.
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Computer Science, Artificial Intelligence
Afshin Faramarzi et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
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Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
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Partha P. Biswas et al.
APPLIED SOFT COMPUTING
(2017)
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Jianfa Wu et al.
AEROSPACE SCIENCE AND TECHNOLOGY
(2017)
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Seyedali Mirjalili et al.
NEURAL COMPUTING & APPLICATIONS
(2016)
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Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2016)
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Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2016)
Review
Green & Sustainable Science & Technology
Om Prakash Mahela et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2016)
Article
Computer Science, Artificial Intelligence
Mohammad Mohammadi
APPLIED SOFT COMPUTING
(2015)
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Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2014)
Article
Automation & Control Systems
Ahmed Faheem Zobaa
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2014)
Article
Engineering, Electrical & Electronic
Dusan Graovac et al.
IEEE TRANSACTIONS ON POWER DELIVERY
(2007)
Article
Engineering, Electrical & Electronic
YP Chang et al.
IEEE TRANSACTIONS ON POWER DELIVERY
(2005)
