Random Drift Particle Swarm Optimization (RDPSO) algorithm

Implementation of the 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.