Results 21 to 30 of about 29,346 (266)
PLoS ONE, 2022 Particle swarm optimization and genetic algorithms are two classes of popular heuristic algorithms that are frequently used for solving complex multi-dimensional mathematical optimization problems, each one with its one advantages and shortcomings ...
Panagiotis Aivaliotis-Apostolopoulos +1 more
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Electrical engineering & Electromechanics, 2022 Introduction. Extracting maximum possible power from solar energy is a hot topic of the day as other sources have become costly and lead to pollution. Problem.
H. Saeed +5 more
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Learning Competitive Swarm Optimization
Entropy, 2022 Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of population ...
Bożena Borowska
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Cluster Partition Method of Distributed Power Supply Based on Improved Particle Swarm Optimization Algorithm [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 With the development of new power system construction, the proportion of grid-connected distributed power gradually increased. In order to solve the difficult problem of the regulation of distributed power in new distribution network, the improved ...
CHEN Jinghua +6 more
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Particle swarm inspired optimization algorithm without velocity equation
Egyptian Informatics Journal, 2011 This paper introduces Particle Swarm Without Velocity equation optimization algorithm (PSWV) that significantly reduces the number of iterations required to reach good solutions for optimization problems.
Mahmoud Mostafa El-Sherbiny
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Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
Energies, 2021 Energy saving is an important issue for multiple-chiller systems. Optimal chiller loading (OCL) in multiple-chiller systems has been investigated with many optimization algorithms to save energy.
Wen-Shing Lee +3 more
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Machines, 2022 For the problem of defect inversion in magnetic flux leakage technology, a fast, globally convergent particle swarm optimization algorithm based on the finite-element forward model is introduced as an inverse iterative algorithm in this paper.
Senxiang Lu +3 more
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Section optimization design of UHPC beam bridges based on improved particle swarm optimization
Frontiers in Materials, 2023 Ultra-high performance concrete has excellent mechanical properties such as ultra-high strength and high durability, and has a broad application prospect in the field of bridge engineering.
Beian Li +5 more
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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A Novel Particle Swarm Optimization Algorithm for Global Optimization [PDF]
Computational Intelligence and Neuroscience, 2016 Particle Swarm Optimization (PSO) is a recently developed optimization method, which has attracted interest of researchers in various areas due to its simplicity and effectiveness, and many variants have been proposed. In this paper, a novel Particle Swarm Optimization algorithm is presented, in which the information of the best neighbor of each ...
Chunfeng Wang, Kui Liu 0002
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