Containing particles inside niches when optimizing multimodal functions
SAICSIT '05 Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Particle swarm optimization with composite particles in dynamic environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Adapting a niching algorithm for dynamic environments is described. The Vector-Based Particle Swarm Optimizer locates multiple optima by identifying niches and optimizing them in parallel. To track optima effectively, information from previous results should be utilized in order to find optima after an environment change, with less effort than complete re-optimization would entail. The Vector-Based PSO was adapted for this purpose. Several scenarios were set up using a test problem generator, in order to assess the behaviour of the algorithm in various environments. Results showed that the algorithm could track multiple optima with a varying success rate and that results were to a large extent problem-dependent.