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An improved particle swarm optimization algorithm
2011 International Conference on Electronics, Communications and Control (ICECC), 2011Because the variable inertia weight particle swarm optimization algorithm is easy to fall into the local optimum, this paper introduces the improved simulated annealing operator, chaotic disturbance operator and Cauchy mutation operator to the former and proposes an improved particle swarm optimization algorithm; Then, two typical Benchmark functions ...
Yi Jin, Jiwu Wang, Lenan Wu
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General particle swarm optimization algorithm
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2023Wen Chuanjun, Wang Ling, Ren Xuejing
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Dream Effected Particle Swarm Optimization Algorithm
Journal of Information and Computational Science, 2014Particle swarm optimization is a stochastic optimization technique based on population. It was gaining popularity during the past decade for the rapid speed of convergence, therefore the researches to improve PSO is increasing. In this paper, we propose a two-phase PSO including day and night phase. In the night phase the particles contort the position
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An Emotional Particle Swarm Optimization Algorithm
2005This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to introduce some psychology factor of emotion into the algorithm. In the new algorithm, which is based on a simple perception and emotion psychology model, each particle has its own feeling and reaction to the current position, and it also has specified ...
Yang Ge, Zhang Rubo
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A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm
IEEE Transactions on Cybernetics, 2022Nianyin Zeng, Zidong Wang, Weibo Liu
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