Random Drift Particle Swarm Optimization (RDPSO) algorithm
This is a relatively new metaheuristic technique. It is a novel variant of the PSO algorithm. The Sphere test function is used as an objective function.
For references and explanation of the code, please see and cite the following references
1- Paper no.1
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Wael T. Elsayed, Yasser G. Hegazy, Mohamed S. El-bages, and Fahmy M. Bendary “Improved Random Drift Particle Swarm Optimization With Self-Adaptive Mechanism for Solving the Power Economic Dispatch Problem,”
IEEE Transactions on Industrial Informatics, vol. 13, no. 3, p. 1017 - 1026, 2017.
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2- Paper no.2
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J. Sun, V. Palade, X.-J. Wu, W. Fang, and Z. Wang, “Solving the power economic dispatch problem with generator constraints by random drift particle swarm optimization,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 222–232, 2014.
引用格式
wael Ghareeb (2026). Random Drift Particle Swarm Optimization (RDPSO) algorithm (https://ww2.mathworks.cn/matlabcentral/fileexchange/66465-random-drift-particle-swarm-optimization-rdpso-algorithm), MATLAB Central File Exchange. 检索时间: .
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| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 |
