☆ 4.7 Review

An Inclusive Survey on Marine Predators Algorithm: Variants and Applications

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems

Pradeep Jangir et al.

Summary: This paper proposes a new multi-objective algorithm called MOMPA, which is based on the Marine-Predator Algorithm and can handle multiple conflicting objectives in optimization problems. Experimental results demonstrate the merits of the proposed method.

EVOLUTIONARY INTELLIGENCE (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Marine predator inspired naked mole-rat algorithm for global optimization

Rohit Salgotra et al.

Summary: This paper proposes a hybrid algorithm MpNMRA, which combines the strengths of marine predator algorithm (MPA) and naked mole-rat algorithm (NMRA) to solve high-dimensional problems. Experimental results show that the proposed algorithm performs excellently in benchmark tests, as well as in solving real-world optimization problems and training multi-layer perceptrons.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

添加到收藏夹

Article Computer Science, Hardware & Architecture

A novel marine predators algorithm with adaptive update strategy

Tao Chen et al.

Summary: This paper proposes a modified marine predators algorithm (QMPA) hybridized by Q-learning, which improves the adaptive ability of the MPA algorithm by selecting the most suitable position update strategy for different iteration stages and states. Experimental results demonstrate that QMPA outperforms MPA and other algorithms on various benchmark functions and engineering problems.

JOURNAL OF SUPERCOMPUTING (2023)

添加到收藏夹

Article Environmental Sciences

China's carbon dioxide emission forecast based on improved marine predator algorithm and multi-kernel support vector regression

Xiwen Qin et al.

Summary: Global warming is a major global problem, with carbon dioxide emissions from the burning of fossil fuels being the main cause. This paper proposes a new hybrid forecasting model to predict carbon dioxide emissions and demonstrates its effectiveness through experiments. The model is tested using data from China and shows accurate prediction of China's carbon dioxide emissions.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

添加到收藏夹

Article Engineering, Multidisciplinary

A Hybrid Marine Predator Algorithm for Thermal-aware Routing Scheme in Wireless Body Area Networks

Tao Hai et al.

Summary: This article presents a novel temperature-aware routing protocol that uses fuzzy logic controllers to select the next forwarding node. Experimental results show that this routing scheme outperforms other schemes in terms of sensor nodes' lifetime, temperature, and the reliability of packet routing. In addition, the proposed algorithm, which combines the exploration and exploitation phases, also outperforms other algorithms.

JOURNAL OF BIONIC ENGINEERING (2023)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation

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)

添加到收藏夹

Article Computer Science, Information Systems

Hybrid modified marine predators algorithm with teaching-learning-based optimization for global optimization and abrupt motion tracking

Zeng Gao et al.

Summary: This study proposes an enhanced version of the Marine Predators Algorithm (MMPA-TLBO) that improves solution accuracy and convergence speed. By incorporating chaotic map, opposition-based learning strategy, and parameter-free teaching-learning-based optimization method, MMPA-TLBO outperforms other algorithms in benchmark functions, CEC2017 benchmark problems, and engineering design problems. The experiment also shows that MMPA-TLBO performs exceptionally well in visual tracking tasks, especially for abrupt motion.

MULTIMEDIA TOOLS AND APPLICATIONS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hybrid marine predators algorithm for image segmentation: analysis and validations

Mohamed Abdel-Basset et al.

Summary: In this paper, a new image segmentation algorithm based on the improved marine predators algorithm (MPA) is proposed, incorporating a strategy to find the worst solutions and gradually improve them towards the best solutions to avoid local optima, known as linearly increased worst solutions improvement strategy (LIS), and a ranking-based updating strategy (RUS) to update solutions with potential for improvement. These strategies are integrated into a new segmentation meta-heuristic algorithm, MPALS, which is further combined with RUS to address the image segmentation problem in a variant algorithm, HMPA. Experimental results show the effectiveness of HMPA in improving segmentation accuracy with increasing threshold levels compared to state-of-the-art algorithms.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A modified Marine predators algorithm for solving single- and multi-objective combined economic emission dispatch problems

Mohamed H. Hassan et al.

Summary: The Marine Predators Algorithm (MMPA) is proposed and applied to optimize the combined economic emission dispatch (CEED) problem, showing improved effectiveness in reaching optimal fitness solutions for populations. The MMPA technique demonstrates better performance in mathematical assessment and applications in power generation systems.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A venture to analyse stable feature selection employing augmented marine predator algorithm based on opposition-based learning

Kulanthaivel Balakrishnan et al.

Summary: By improving the marine predator algorithm with opposition-based learning, stable feature selection is achieved in high-dimensional datasets, leading to enhanced classification accuracy. The proposed OBL-based marine predator algorithm demonstrates superior converging capacity, classification accuracy, and stable feature selection compared to conventional feature selection techniques.

EXPERT SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Modified marine predators algorithm for feature selection: case study metabolomics

Mohamed Abd Elaziz et al.

Summary: Feature selection is an important process to reduce the dimensionality of datasets. This study proposes a feature selection method based on a modified version of the marine predators algorithm, and extensive experiments show that it outperforms other methods in terms of classification performance.

KNOWLEDGE AND INFORMATION SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection

Dalia Yousri et al.

Summary: The paper introduces the principles of fractional calculus and comprehensive learning strategy to improve the performance of Marine Predator Algorithm in efficiently sharing knowledge and experiences, in order to escape local solutions and prevent premature convergence. The developed FOCLMPA is tested on multidimensional benchmarks and real-world engineering problems, demonstrating superior performance compared to other optimization algorithms.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An enhanced black widow optimization algorithm for feature selection

Gang Hu et al.

Summary: The enhanced Black Widow Optimization Algorithm SDABWO improves efficiency and accuracy in feature selection by enhancing the fitness of each generation of the population.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A modified self-adaptive marine predators algorithm: framework and engineering applications

Qingsong Fan et al.

Summary: The paper proposes a modified Marine Predators Algorithm (MMPA) to improve optimization performance by introducing logistic opposition-based learning mechanism and self-adaptive updating methods. Experimental results and statistical tests demonstrate that MMPA exhibits superior performance in terms of accuracy, convergence speed, and stability.

ENGINEERING WITH COMPUTERS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An improved medical image synthesis approach based on marine predators algorithm and maximum Gabor energy

Phu-Hung Dinh

Summary: This paper introduces an effective approach for medical image fusion, decomposing images into high- and low-frequency components and synthesizing them using different rules to preserve important information while ensuring output quality. Experimental results show that the proposed method outperforms current latest algorithms.

NEURAL COMPUTING & APPLICATIONS (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

A modified marine predators optimization algorithm for simultaneous network reconfiguration and distributed generator allocation in distribution systems under different loading conditions

Abdullah M. Shaheen et al.

Summary: A modified marine predators optimizer (MMPO) is proposed for simultaneous distribution network reconfiguration (DNR) associated with the allocation of distributed generators (DGs). The results show a great improvement over the standard marine predators optimizer (MPO) and demonstrate the superiority of the proposed MMPO for simultaneous DNR and DG allocation.

ENGINEERING OPTIMIZATION (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Managing the exchange of energy between microgrid elements based on multi-objective enhanced marine predators algorithm

Dalia Yousri et al.

Alexandria Engineering Journal (2022)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

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.

EVOLVING SYSTEMS (2022)

添加到收藏夹

Article Energy & Fuels

Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting

Mohammed A. A. Al-qaness et al.

Summary: This paper presents an efficient prediction tool for estimating wind power using time-series datasets. By developing an enhanced variant of ANFIS and utilizing metaheuristic optimization algorithms, the proposed model shows significant improvements in prediction accuracy compared to traditional ANFIS and other time-series prediction models.

APPLIED ENERGY (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

An enhanced hybrid arithmetic optimization algorithm for engineering applications

Gang Hu et al.

Summary: The paper proposes an enhanced arithmetic optimization algorithm (CSOAOA) that addresses the limitations of the original AOA in large-scale applications. CSOAOA incorporates strategies such as point set initialization, optimal neighborhood learning, and crisscross optimization to improve the overall performance of AOA. Experimental results demonstrate the superiority of CSOAOA in terms of precision, convergence rate, and solution quality.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Stock exchange trading optimization algorithm: a human-inspired method for global optimization

Hojjat Emami

Summary: The stock exchange trading optimization (SETO) algorithm is introduced in this paper, inspired by the behavior of traders and stock price changes in the stock market. Statistical results show that SETO provides competitive and promising performances compared with other algorithms in solving optimization problems of different dimensions.

JOURNAL OF SUPERCOMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves

Gang Hu et al.

Summary: This paper introduces an enhanced manta ray foraging optimization (MRFO) algorithm for the shape optimization of complex composite cubic generalized Ball (CCG-Ball) curves. A new cubic generalized Ball basis is constructed to solve the problems of shape optimization for Ball curves, and CCG-Ball curves with multiple shape parameters are presented. The enhanced MRFO, called WMQIMRFO algorithm, is developed to improve its capability of jumping out of local minima and enhance calculation accuracy. Comparative studies and numerical examples demonstrate the superiority of the WMQIMRFO algorithm in solving shape optimization problems of complex CCG-Ball curves.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Boosting Marine Predators Algorithm by Salp Swarm Algorithm for Multilevel Thresholding Image Segmentation

Laith Abualigah et al.

Summary: This study proposes a method combining the Marine Predators Algorithm and Salp Swarm Algorithm to determine the optimal multilevel threshold image segmentation. The solutions obtained are represented using image histograms, and various standard evaluation measures are employed to assess the effectiveness of the proposed segmentation method. Results indicate that the proposed method outperforms other well-known optimization algorithms in the literature.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

添加到收藏夹

Article Multidisciplinary Sciences

Generalized Type-2 Fuzzy Parameter Adaptation in the Marine Predator Algorithm for Fuzzy Controller Parameterization in Mobile Robots

Felizardo Cuevas et al.

Summary: This article discusses the application of generalized type-2 fuzzy systems in a metaheuristic algorithm based on predator-prey feeding strategies. The fuzzy marine predator algorithm (FMPA) is introduced as an improved variant of the original marine predator algorithm (MPA), balancing exploration and exploitation in its iterations. The results show that the generalized FMPA provides better solutions. The article also presents the application of FMPA in fuzzy control design.

SYMMETRY-BASEL (2022)

添加到收藏夹

Article Energy & Fuels

A multigroup marine predator algorithm and its application for the power system economic load dispatch

Jeng-Shyang Pan et al.

Summary: The Marine Predator Algorithm (MPA) is inspired by predator and prey behavior and MGMPA further improves its performance by dividing the initial population into independent groups and sharing information based on different strategies. Experimental results demonstrate that MGMPA outperforms other classic algorithms and achieves significant advantages in solving the Economic Load Dispatch problem.

ENERGY SCIENCE & ENGINEERING (2022)

添加到收藏夹

Article

Evolving deep convolutional neural networks by IP-based marine predator algorithm for COVID-19 diagnosis using chest CT scans

Bing Liu et al.

Journal of Ambient Intelligence and Humanized Computing (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Golden-Sine dynamic marine predator algorithm for addressing engineering design optimization

Muxuan Han et al.

Summary: In engineering design optimization, finding the optimal solution is of great practical significance. This study proposes an improved Golden-Sine Dynamic Marine Predator Algorithm (GDMPA) to overcome the issues of weak convergence and local optimum in the Marine Predator Algorithm (MPA). The GDMPA adjusts the initial position of the population, adds a dynamic adjustment transition probability strategy, and uses adaptive inertial weight and the Golden-Sine factor to enhance the optimization performance.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Mathematics

Chaos Embed Marine Predator (CMPA) Algorithm for Feature Selection

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.

MATHEMATICS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

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)

添加到收藏夹

Article Telecommunications

Hybrid Marine predators optimization and improved particle swarm optimization-based optimal cluster routing in wireless sensor networks (WSNs)

A. Balamurugan et al.

Summary: This paper proposes a hybrid approach based on MPOA and improved PSO for optimal cluster routing, aiming to ensure both efficient cluster head selection and data transmission. The robust characteristic of MPOA is utilized for optimized cluster head selection, while the improved PSO is used for determining the optimized route to ensure sink mobility. Experimental results demonstrate that the proposed method can significantly improve energy stability, prolong network lifetime, and provide greater throughput.

CHINA COMMUNICATIONS (2022)

添加到收藏夹

Article Chemistry, Analytical

Advanced Marine Predator Algorithm for Circular Antenna Array Pattern Synthesis

Eunice Oluwabunmi Owoola et al.

Summary: This paper proposes an advanced marine predator algorithm (AMPA) for synthesizing the beam patterns of a non-uniform circular antenna array (CAA). By utilizing an adaptive velocity update mechanism and a chaotic sequence parameter, the AMPA improves the exploration and exploitation capability of the algorithm. The experimental results show that the AMPA outperforms other optimization algorithms in terms of SLL suppression and convergence rate.

SENSORS (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Elimination of Harmonics in Multilevel Inverter Using Multi-Group Marine Predator Algorithm-Based Enhanced RNN

G. Krithiga et al.

Summary: The study introduces the MGMPA algorithm to solve transcendental nonlinear equations in MLI, and compares its applicability and superiority in selective harmonic elimination methods.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2022)

添加到收藏夹

Article Green & Sustainable Science & Technology

Improved Marine Predator Algorithm for Wireless Sensor Network Coverage Optimization Problem

Qing He et al.

Summary: This paper proposes a wireless sensor network (WSN) coverage optimization model based on an improved marine predator algorithm (IMPA). The improved algorithm introduces a dynamic inertia weight adjustment strategy in the global exploration and local exploitation stages, and uses a multi-elite random leading strategy to enhance the algorithm's solution accuracy and ability to jump out of local optima. Experimental results demonstrate that the improved algorithm outperforms the standard marine predator algorithm and other algorithms in the literature in terms of optimization performance and solving the WSN coverage optimization problem.

SUSTAINABILITY (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

Rana Muhammad Adnan Ikram et al.

Summary: A novel hybridized machine learning method is developed for streamflow prediction in high altitude mountainous glacier melting affected basins, and its prediction accuracy is compared with several benchmark algorithms, showing superior performance.

APPLIED SOFT COMPUTING (2022)

添加到收藏夹

Article Energy & Fuels

Marine Predator Algorithm (MPA)-Based MPPT Technique for Solar PV Systems under Partial Shading Conditions

Sampath Kumar Vankadara et al.

Summary: To address the issue of partial shading conditions in PV systems, a marine predator algorithm (MPA) is applied in this study, which shows superior performance in terms of convergence time, efficiency, accuracy, and extracted power.

ENERGIES (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks

Ali Safaa Sadiq et al.

Summary: This paper aims to improve the recently proposed Marine Predator Algorithm (MPA) by introducing the Nonlinear Marin Predator Algorithm (NMPA). The authors conducted tests and comparisons using benchmark functions and a real-world case study. The results show that NMPA algorithm outperforms MPA in terms of search effectiveness and power allocation.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection

Zahra Beheshti

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-strategy boosted marine predators algorithm for optimizing approximate developable surface

Gang Hu et al.

Summary: The Marine Predators Algorithm (MPA) is a swarm-based meta-heuristic algorithm inspired by foraging strategies of marine predators. In this paper, an enhanced version of MPA, called NMPA, is proposed to improve the diversity of the population and solution accuracy. The superiority of NMPA is demonstrated through comparisons with original MPA, other improved MPA, and popular nature-inspired optimization algorithms. The practicability of NMPA is illustrated by solving a real-world application and the experimental results show its superior performance in terms of precision, convergence rate, and solution quality.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Software Engineering

Marine Predators Algorithm Based on Adaptive Weight and Chaos Factor and Its Application

Shujun Liang et al.

Summary: The article introduces an improved marine predators algorithm (ACMPA) based on adaptive weight and chaos factor to solve the problems of the original algorithm. The traveling salesman problem is studied, and the convergence accuracy and optimization ability of the algorithm are improved by the improved weight strategy and chaos factor.

SCIENTIFIC PROGRAMMING (2022)

添加到收藏夹

Article Chemistry, Multidisciplinary

A Fusion Multi-Strategy Marine Predator Algorithm for Mobile Robot Path Planning

Luxian Yang et al.

Summary: This paper proposes a fusion multi-strategy marine predator algorithm (FMMPA) for mobile robot path planning, which utilizes spiral complex path search and nonlinear convex weights to achieve global optimal path planning. By combining the golden sine algorithm, the convergence accuracy and speed are improved, and experimental results confirm the feasibility of FMMPA in practical applications.

APPLIED SCIENCES-BASEL (2022)

添加到收藏夹

Article Construction & Building Technology

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

Sarah J. J. Mohammed et al.

Summary: A novel hybrid machine learning model based on an artificial neural network and the Marine Predators algorithm is proposed in this paper for monthly water level forecasting in the Tigris River in Iraq. The model outperformed other algorithms in terms of accuracy, as demonstrated through data preprocessing and comparison.

ADVANCES IN CIVIL ENGINEERING (2022)

添加到收藏夹

Article Mathematics

Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm

Alaa A. Zaky et al.

Summary: In this study, a method using the H-MPA algorithm to construct the triple-diode model of DSSCs is proposed and compared with other algorithms. The results demonstrated the superiority of the proposed method in building a consistent triple-diode model of DSSCs.

MATHEMATICS (2022)

添加到收藏夹

Article Engineering, Mechanical

Marine predators algorithm and multi-verse optimisation algorithm for optimal battery case design of electric vehicles

Betul Sultan Yildiz

Summary: This paper focuses on the optimum design of a battery case of an electric racing car using MPA and MVO algorithms, with the help of kriging surrogate modelling.

INTERNATIONAL JOURNAL OF VEHICLE DESIGN (2022)

添加到收藏夹

Article Multidisciplinary Sciences

Effective PV Parameter Estimation Algorithm Based on Marine Predators Optimizer Considering Normal and Low Radiation Operating Conditions

Ahmed Saeed Abdelrazek Bayoumi et al.

Summary: This study introduces a new bio-inspired optimization algorithm, the Marine Predators Algorithm (MPA), for parameter extraction of solar cell models, showing competitive results with other algorithms under various operating conditions.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Battle royale optimization algorithm

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Coronavirus herd immunity optimizer (CHIO)

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)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Quantum marine predators algorithm for addressing multilevel image segmentation

Mohamed Abd Elaziz et al.

Summary: This paper proposes a modified marine predators algorithm based on quantum theory to enhance the ability of finding optimal threshold levels for multilevel image segmentation. The proposed algorithm borrows from the Schrodinger wave function to determine particle positions, contributing to exploration and exploitation of the algorithm. Experimental results show that the algorithm performs well in convergence and segmentation quality compared to other meta-heuristic algorithms.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Thermodynamics

Parameters identification of solid oxide fuel cell for static and dynamic simulation using comprehensive learning dynamic multi-swarm marine predators algorithm

Dalia Yousri et al.

Summary: The proposal of CLDMMPA provides highly accurate identified parameters for the SOFC model, achieving a close matching between actual and estimated system responses. The algorithm is validated under different operating conditions and exhibits superiority in the dynamic model.

ENERGY CONVERSION AND MANAGEMENT (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

MOMPA: Multi-objective marine predator algorithm

Keyu Zhong et al.

Summary: The paper presents a multi-objective version of the marine predator algorithm, called MOMPA, which introduces an external archive and a top predator selection mechanism for optimization. The performance of the algorithm is evaluated on benchmark functions and engineering design problems, showing competitive results and outperforming other algorithms.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)

添加到收藏夹

Article Automation & Control Systems

An improved marine predators algorithm for shape optimization of developable Ball surfaces

Gang Hu et al.

Summary: This paper presents the use of an improved marine predators algorithm (MPA) to optimize the shape of shape-adjustable generalized cubic developable Ball (SGCD-Ball) surfaces, solving shape adjustment and optimization issues with novel shape-adjustable generalized cubic Ball basis functions. The optimization of developable surfaces is effectively tackled through swarm intelligence algorithms, with the incorporation of a quasi-opposition strategy and a differential evolution algorithm into the MPA to develop an improved MPA known as ODMPA. The superiority of ODMPA is demonstrated through comparison with other algorithms on benchmark functions and engineering optimization problems, showing its effectiveness in precision and robustness.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A modified Marine Predator Algorithm based on opposition based learning for tracking the global MPP of shaded PV system

Essam H. Houssein et al.

Summary: The study introduces a new method for maximum power point tracking in photovoltaic systems, the MPAOBL-GWO algorithm, which combines Opposition Based Learning strategy and Grey Wolf Optimizer to enhance global search efficiency and prevent local optima.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization

Mariusz Oszust

Summary: The paper presents an improved MPA variant using a Local Escaping Operator (LEO) to address the premature convergence issue. Experimental results demonstrate the superiority of LEO-MPA over MPA and recent algorithms, showing the effectiveness of hybridizing meta-heuristics with LEO for optimization problems.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems

Hojat Karami et al.

Summary: The present study introduced a new optimization algorithm called the Flow Direction Algorithm (FDA), which is physics-based and mimics the flow direction to the outlet point with the lowest height in a drainage basin. The algorithm was evaluated using various mathematical benchmark functions and engineering design problems, showing superior performance in solving challenging optimization problems when compared to other algorithms.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Optimal performance of a combined heat-power system with a proton exchange membrane fuel cell using a developed marine predators algorithm

Xianke Sun et al.

Summary: This paper introduces a new optimization algorithm to improve the performance of a Combined Cooling, Heating, and Power system, and compares it with other bioinspired algorithms. The research findings demonstrate that the proposed algorithm has significant effects on economic performance and emission reduction efficiency.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Computer Science, Information Systems

Image segmentation using multilevel thresholding based on type II fuzzy entropy and marine predators algorithm

Shubham Mahajan et al.

Summary: Digital image segmentation is a growing open problem, with researchers focusing on thresholding approaches, particularly multi-level thresholding. A novel technique combining fuzzy entropy and Marine Predators Algorithm has been proposed for more effective threshold definition.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Three-Phase Multilevel Inverter Using Selective Harmonic Elimination with Marine Predator Algorithm

Nancy Riad et al.

Summary: The marine predator algorithm (MPA) is proposed to solve transcendental nonlinear equations in a multilevel inverter (MLI) for selective harmonic elimination. It shows superior precision, convergence probability, and output voltage quality compared to other techniques. Experimental validation supports the efficacy and accuracy of the MPA algorithm in control systems.

ELECTRONICS (2021)

添加到收藏夹

Article Mathematics

A Multi-Strategy Marine Predator Algorithm and Its Application in Joint Regularization Semi-Supervised ELM

Wenbiao Yang et al.

Summary: JRSSELM and MSMPA algorithms were proposed to address the issues of semi-supervised learning and slow convergence speed, improving classification performance through parameter optimization and multi-strategy optimization methods.

MATHEMATICS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Atomic orbital search: A novel metaheuristic algorithm

Mahdi Azizi

Summary: This paper introduces a novel metaheuristic optimization algorithm based on Atomic Orbital Search (AOS) and evaluates its performance through various mathematical test functions, statistical analysis, and comparison with other algorithms, demonstrating outstanding results in dealing with mathematical and engineering design problems.

APPLIED MATHEMATICAL MODELLING (2021)

添加到收藏夹

Article Engineering, Biomedical

A novel approach based on Three-scale image decomposition and Marine predators algorithm for multi-modal medical image fusion

Phu-Hung Dinh

Summary: This study introduces a novel approach to medical image fusion that addresses drawbacks of traditional methods by handling detail and base components, using a local energy function rule, and the Marine predators algorithm. The proposed method significantly enhances the quality of fused images and preserves important information.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

The Arithmetic Optimization Algorithm

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)

添加到收藏夹

Article Thermodynamics

Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters

Mohamed Abd Elaziz et al.

Summary: The paper proposes an enhanced marine predators algorithm (EMPA) to identify unknown parameters for different photovoltaic (PV) models, showing superior performance in both static and dynamic PV models.

ENERGY CONVERSION AND MANAGEMENT (2021)

添加到收藏夹

Article Energy & Fuels

An adaptive Marine Predators Algorithm for optimizing a hybrid PV/DG/Battery System for a remote area in China

Guoqing Yu et al.

Summary: This study aims to propose a new optimal configuration for a hybrid photovoltaic/diesel generator/battery system to refine the load demand of a rural area in Hoxtolgay, China, in order to minimize CO2 emissions, annualized cost, and loss of load probability. The optimization results were improved using the epsilon-constraint method and an adaptive version of the Marine Predators Algorithm (AMPA). The proposed system achieved the lowest CO2 emissions among the others.

ENERGY REPORTS (2021)

添加到收藏夹

Article Energy & Fuels

A new comprehensive learning marine predator algorithm for extracting the optimal parameters of supercapacitor model

Dalia Yousri et al.

Summary: This paper introduces an improved metaheuristic approach of comprehensive learning marine predator algorithm (CLMPA) to identify optimal parameters of supercapacitor equivalent circuit. By utilizing the principle of comprehensive learning strategy, the proposed approach shares best experiences among all particles to avoid immature convergence.

JOURNAL OF ENERGY STORAGE (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding

Xu Chen et al.

Summary: This paper presents a rolling bearing fault diagnosis method combining various approaches, which involves feature extraction and dimensionality reduction of original fault signals, and fault-type discrimination using support vector machine. The method achieved a 100% accuracy in diagnosing bearing faults.

MEASUREMENT (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks

Ahmad Eid et al.

Summary: The marine predators algorithm is motivated by foraging techniques of ocean predators and aims to optimize the performance of distribution systems by controlling active and reactive power. The improved algorithm achieves rapid convergence and enhanced efficiency through optimization of distributed generation and capacitors placement and sizing.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions

Montaser Abd El Sattar et al.

Summary: The accurate models of photovoltaic systems play a crucial role in solar energy studies, with optimizing the models based on Marine Predators Algorithm proving to be an effective approach. The proposed algorithm demonstrated high accuracy, reliability, and close alignment with manufacturer's curve in optimizing parameters under different operating conditions.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A comprehensive survey of sine cosine algorithm: variants and applications

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)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks

Long Viet Ho et al.

Summary: FE-based SHM algorithms aim to update damage indices by solving an optimization problem to minimize the difference between real structure response and FE model response. The study proposes an effective approach using MPA for damage detection, with superior performance compared to other optimization algorithms. The MPAFNN method shows promising results for both classification and damage identification tasks.

COMPUTERS & STRUCTURES (2021)

添加到收藏夹

Article Thermodynamics

A reliable approach for modeling the photovoltaic system under partial shading conditions using three diode model and hybrid marine predators-slime mould algorithm

Dalia Yousri et al.

Summary: This article investigates the use of the triple diode model (TDM) for modeling various PV modules and introduces a novel hybrid algorithm called HMPA. Results demonstrate that HMPA outperforms other algorithms in identifying TDM parameters, as confirmed by statistical analysis and convergence curves.

ENERGY CONVERSION AND MANAGEMENT (2021)

添加到收藏夹

Article Automation & Control Systems

Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications

Mohamed Abdel-Basset et al.

Summary: This article proposes an energy-aware model based on the marine predators algorithm for improving task scheduling in fog computing to enhance the required quality of service for users. Three versions are proposed, with the improved MMPA outperforming all other algorithms.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units

Mohamed A. Sobhy et al.

Summary: The paper discusses the critical role of Load Frequency Control (LFC) in modern power systems, incorporating conventional generators, RESs, and ES units. Utilizing PID controllers and the Marine Predators Algorithm (MPA) for optimization, the simulation results demonstrate the effectiveness of the proposed control scheme and the enhancement of transient responses by ES units.

AIN SHAMS ENGINEERING JOURNAL (2021)

添加到收藏夹

Article Computer Science, Information Systems

A Hybrid Heartbeats Classification Approach Based on Marine Predators Algorithm and Convolution Neural Networks

Essam H. Houssein et al.

Summary: The ECG is a non-invasive tool used to diagnose heart conditions, with arrhythmia being a primary cause of cardiac arrest. A novel approach utilizing a hybrid method based on marine predators algorithm and convolutional neural network was proposed to accurately classify arrhythmia types, achieving high precision levels.

IEEE ACCESS (2021)

添加到收藏夹

Article Computer Science, Information Systems

A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models

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.

IEEE ACCESS (2021)

添加到收藏夹

Article Multidisciplinary Sciences

A New Improved Model of Marine Predator Algorithm for Optimization Problems

Mehdi Ramezani et al.

Summary: The marine predator algorithm is a new nature-inspired metaheuristic algorithm that shows promise in solving real-world optimization problems. However, deficiencies such as lack of diverse initial population, slow escaping from local optima, and limited exploration of search space have been identified. An improved version of the algorithm was proposed in this study, incorporating various techniques to enhance performance. Simulation results demonstrated that the suggested algorithm outperformed other state-of-the-art optimization algorithms in the tested case studies.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

New binary marine predators optimization algorithms for 0-1 knapsack problems

Mohamed Abdel-Basset et al.

Summary: A novel binary version of the marine predators algorithm (MPA) is proposed in this work to solve the 0-1 knapsack problem, mapping continuous values to binary using a range of V-Shaped and S-shaped transfer functions. The performance of a binary algorithm is shown to heavily rely on the selection of an appropriate transfer function on a specific dataset, and the results demonstrate the merits of the proposed BMPA algorithm.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Information Systems

An Efficient Marine Predators Algorithm for Feature Selection

Diaa Salama Abd Elminaam et al.

Summary: The combination of Marine Predators Algorithm (MPA) and k-Nearest Neighbors (k-NN) in this study proved to have the remarkable capability to select optimal and significant features, outperforming several well-established metaheuristic algorithms. The proposed MPA-KNN approach achieved the best average accuracy, Sensitivity, and Specificity rates among all datasets.

IEEE ACCESS (2021)

添加到收藏夹

Article Mathematics, Applied

TLMPA: Teaching-learning-based Marine Predators algorithm

Keyu Zhong et al.

Summary: The TLMPA algorithm combines the Marine Predators algorithm with Teaching-learning-based optimization algorithm, allowing predators to learn prey information and increase encounter rate through interaction. Effective mutation and crossover strategies are added to increase diversity of predators and prevent premature convergence. The TLMPA algorithm outperforms other state-of-the-art metaheuristic algorithms in terms of performance measures.

AIMS MATHEMATICS (2021)

添加到收藏夹

Article Computer Science, Information Systems

A Novel Dynamic Clustering Method by Integrating Marine Predators Algorithm and Particle Swarm Optimization Algorithm

N. Wang et al.

Summary: The proposed hybrid dynamic clustering method based on the marine predators algorithm and particle swarm optimization algorithm improved algorithm performance through multiple optimization strategies and successfully achieved stable clustering results on multiple datasets.

IEEE ACCESS (2021)

添加到收藏夹

Article Operations Research & Management Science

Most Valuable Player Algorithm: a novel optimization algorithm inspired from sport

H. R. E. H. Bouchekara

OPERATIONAL RESEARCH (2020)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Nature-Inspired Optimization Algorithms and Their Application in Multi-Thresholding Image Segmentation

Krishna Gopal Dhal et al.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel meta-heuristic optimization method based on golden ratio in nature

Amin Foroughi Nematollahi et al.

SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Equilibrium optimizer: A novel optimization algorithm

Afshin Faramarzi et al.

KNOWLEDGE-BASED SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel life choice-based optimizer

Abhishek Khatri et al.

SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An algorithm for numerical nonlinear optimization: Fertile Field Algorithm (FFA)

M. Mohammadi et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations

Junfeng Liu et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Automation & Control Systems

Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications

Weiguo Zhao et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new metaheuristic optimization algorithm inspired by human dynasties with an application to the wind turbine micrositing problem

Shafiq-ur-Rehman Massan et al.

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm

Ali Wagdy Mohamed et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Political Optimizer: A novel socio-inspired meta-heuristic for global optimization

Qamar Askari et al.

KNOWLEDGE-BASED SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Rough sets and social ski-driver optimization for drug toxicity analysis

Alaa Tharwat et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Marine Predators Algorithm: A nature-inspired metaheuristic

Afshin Faramarzi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Article Energy & Fuels

Solving the Optimal Reactive Power Dispatch Using Marine Predators Algorithm Considering the Uncertainties in Load and Wind-Solar Generation Systems

Mohamed Ebeed et al.

ENERGIES (2020)

添加到收藏夹

Article Energy & Fuels

Parameters extraction of single and double diodes photovoltaic models using Marine Predators Algorithm and Lambert W function

Hussein Mohammed Ridha

SOLAR ENERGY (2020)

添加到收藏夹

Article Multidisciplinary Sciences

COVID-19 image classification using deep features and fractional-order marine predators algorithm

Ahmed T. Sahlol et al.

SCIENTIFIC REPORTS (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Hybrid Harris hawks optimization with cuckoo search for drug design and discovery in chemoinformatics

Essam H. Houssein et al.

SCIENTIFIC REPORTS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Heap-based optimizer inspired by corporate rank hierarchy for global optimization

Qamar Askari et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems

Amir Shabani et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Human urbanization algorithm: A novel metaheuristic approach

Hadi Ghasemian et al.

MATHEMATICS AND COMPUTERS IN SIMULATION (2020)

添加到收藏夹

Article Energy & Fuels

A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem

Mohamed A. M. Shaheen et al.

ENERGIES (2020)

添加到收藏夹

Article Computer Science, Information Systems

Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers

Ahmed A. Zaki Diab et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Marine Predators Algorithm for Parameters Identification of Triple-Diode Photovoltaic Models

Mahmoud A. Soliman et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy

Mohamed Abdel-Basset et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

A Robust Strategy Based on Marine Predators Algorithm for Large Scale Photovoltaic Array Reconfiguration to Mitigate the Partial Shading Effect on the Performance of PV System

Dalia Yousri et al.

IEEE ACCESS (2020)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

A Survey on Nature-Inspired Optimization Algorithms and Their Application in Image Enhancement Domain

Krishna Gopal Dhal et al.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Atom search optimization and its application to solve a hydrogeologic parameter estimation problem

Weiguo Zhao et al.

KNOWLEDGE-BASED SYSTEMS (2019)

添加到收藏夹

Article Automation & Control Systems

The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems

S. Shadravan et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ludo game-based metaheuristics for global and engineering optimization

Prabhat R. Singh et al.

APPLIED SOFT COMPUTING (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Henry gas solubility optimization: A novel physics-based algorithm

Fatma A. Hashim et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Computer Science, Information Systems

Nuclear Reaction Optimization: A novel and powerful physics-based algorithm for global optimization

Zhenglei Wei et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Future search algorithm for optimization

M. Elsisi

EVOLUTIONARY INTELLIGENCE (2019)

添加到收藏夹

Article Engineering, Multidisciplinary

Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems

Jinhao Zhang et al.

APPLIED MATHEMATICAL MODELLING (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Volleyball Premier League Algorithm

Reza Moghdani et al.

APPLIED SOFT COMPUTING (2018)

添加到收藏夹

Article Automation & Control Systems

The Social Engineering Optimizer (SEO)

Amir Mohammad Fathollahi-Fard et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

添加到收藏夹

Article Computer Science, Theory & Methods

Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology

Meeta Kumar et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Emperor penguin optimizer: A bio-inspired algorithm for engineering problems

Gaurav Dhiman et al.

KNOWLEDGE-BASED SYSTEMS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A comprehensive survey on gravitational search algorithm

Esmat Rashedi et al.

SWARM AND EVOLUTIONARY COMPUTATION (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Grasshopper optimization algorithm for multi-objective optimization problems

Seyedeh Zahra Mirjalili et al.

APPLIED INTELLIGENCE (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Plant intelligence based metaheuristic optimization algorithms

Sinem Akyol et al.

ARTIFICIAL INTELLIGENCE REVIEW (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ideology algorithm: a socio-inspired optimization methodology

Teo Ting Huan et al.

NEURAL COMPUTING & APPLICATIONS (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Human behavior-based optimization: a novel metaheuristic approach to solve complex optimization problems

Seyed-Alireza Ahmadi

NEURAL COMPUTING & APPLICATIONS (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel path planning algorithm based on plant growth mechanism

Yaoming Zhou et al.

SOFT COMPUTING (2017)

添加到收藏夹

Article Biology

Artificial root foraging optimizer algorithm with hybrid strategies

Yang Liu et al.

SAUDI JOURNAL OF BIOLOGICAL SCIENCES (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Human mental search: a new population-based metaheuristic optimization algorithm

Seyed Jalaleddin Mousavirad et al.

APPLIED INTELLIGENCE (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A novel meta-heuristic optimization algorithm: Thermal exchange optimization

A. Kaveh et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Seyedali Mirjalili et al.

NEURAL COMPUTING & APPLICATIONS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili

NEURAL COMPUTING & APPLICATIONS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

添加到收藏夹

Article Engineering, Multidisciplinary

Passing vehicle search (PVS): A novel metaheuristic algorithm

Poonam Savsani et al.

APPLIED MATHEMATICAL MODELLING (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Water Evaporation Optimization: A novel physically inspired optimization algorithm

A. Kaveh et al.

COMPUTERS & STRUCTURES (2016)

添加到收藏夹

Article Computer Science, Information Systems

Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition

Zhi-Zhong Liu et al.

INFORMATION SCIENCES (2016)

添加到收藏夹

Article Engineering, Electrical & Electronic

A new rooted tree optimization algorithm for economic dispatch with valve-point effect

Yacine Labbi et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

Hosein Abedinpourshotorban et al.

SWARM AND EVOLUTIONARY COMPUTATION (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Social group optimization (SGO): a new population evolutionary optimization technique

Suresh Satapathy et al.

COMPLEX & INTELLIGENT SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new metaheuristic for optimization: Optics inspired optimization (OIO)

Ali Husseinzadeh Kashan

COMPUTERS & OPERATIONS RESEARCH (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Stochastic Fractal Search: A powerful metaheuristic algorithm

Hamid Salimi

KNOWLEDGE-BASED SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Group counseling optimization

M. A. Eita et al.

APPLIED SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Exchange market algorithm

Naser Ghorbani et al.

APPLIED SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Colliding bodies optimization: A novel meta-heuristic method

A. Kaveh et al.

COMPUTERS & STRUCTURES (2014)

添加到收藏夹

Article Computer Science, Information Systems

Chaotic Krill Herd algorithm

Gai-Ge Wang et al.

INFORMATION SCIENCES (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hyper-Spherical Search (HSS) algorithm: a novel meta-heuristic algorithm to optimize nonlinear functions

H. Karami et al.

NEURAL COMPUTING & APPLICATIONS (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Root growth model: a novel approach to numerical function optimization and simulation of plant root system

Hao Zhang et al.

SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Soccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networks

Naser Moosavian et al.

SWARM AND EVOLUTIONARY COMPUTATION (2014)

添加到收藏夹

Article Mechanics

Magnetic charged system search: a new meta-heuristic algorithm for optimization

A. Kaveh et al.

ACTA MECHANICA (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A swarm optimization algorithm inspired in the behavior of the social-spider

Erik Cuevas et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

添加到收藏夹

Article Computer Science, Information Systems

Black hole: A new heuristic optimization approach for data clustering

Abdolreza Hatamlou

INFORMATION SCIENCES (2013)

添加到收藏夹

Article

Cultural Evolution Algorithm for Global Optimizations and its Applications

H. C. Kuo et al.

JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY (2013)

添加到收藏夹

Proceedings Paper Computer Science, Cybernetics

Cohort Intelligence: A Self Supervised Learning Behavior

Anand J. Kulkarni et al.

2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) (2013)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new meta-heuristic method: Ray Optimization

A. Kaveh et al.

COMPUTERS & STRUCTURES (2012)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Bat algorithm: a novel approach for global engineering optimization

Xin-She Yang et al.

ENGINEERING COMPUTATIONS (2012)

添加到收藏夹

Article Engineering, Electrical & Electronic

Application of the Bee Algorithm for Selective Harmonic Elimination Strategy in Multilevel Inverters

Ayoub Kavousi et al.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2012)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Chemical Reaction Optimization: a tutorial

Albert Y. S. Lam et al.

MEMETIC COMPUTING (2012)

添加到收藏夹

Article Computer Science, Software Engineering

Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems

R. V. Rao et al.

COMPUTER-AIDED DESIGN (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

Bilal Alatas

EXPERT SYSTEMS WITH APPLICATIONS (2011)

添加到收藏夹

Article Mechanics

A novel heuristic optimization method: charged system search

A. Kaveh et al.

ACTA MECHANICA (2010)

添加到收藏夹

Article Engineering, Electrical & Electronic

Invasive Weed Optimization and its Features in Electromagnetics

Shaya Karimkashi et al.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION (2010)

添加到收藏夹

Article Multidisciplinary Sciences

Environmental context explains Levy and Brownian movement patterns of marine predators

Nicolas E. Humphries et al.

NATURE (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Artificial physics optimisation: a brief survey

Liping Xie et al.

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2010)

添加到收藏夹

Article Computer Science, Information Systems

GSA: A Gravitational Search Algorithm

Esmat Rashedi et al.

INFORMATION SCIENCES (2009)

添加到收藏夹

Article Computer Science, Artificial Intelligence

The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm

Hamed Shah Hosseini

International Journal of Bio-Inspired Computation (2009)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Biogeography-Based Optimization

Dan Simon

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions

K. N. Krishnanand et al.

Swarm Intelligence (2008)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

Esmaeil Atashpaz-Gargari et al.

2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS (2007)

添加到收藏夹

Article Engineering, Electrical & Electronic

Central force optimization: A new metaheuristic with applications in applied electromagnetics

R. A. Formato

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER (2007)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new optimization method: Big Bang Big Crunch

OK Erol et al.

ADVANCES IN ENGINEERING SOFTWARE (2006)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Society and civilization: An optimization algorithm based on the simulation of social behavior

T Ray et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)

添加到收藏夹

Article Operations Research & Management Science

An electromagnetism-like mechanism for global optimization

SI Birbil et al.

JOURNAL OF GLOBAL OPTIMIZATION (2003)

添加到收藏夹

Article Agriculture, Multidisciplinary

Finite element inverse analysis using a photosynthetic algorithm

H Murase

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2000)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.