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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Particle Swarm Optimization: Performance Tuning and Empirical Analysis
verfasst von : Millie Pant, Radha Thangaraj, Ajith Abraham
Erschienen in: Foundations of Computational Intelligence Volume 3
Verlag: Springer Berlin Heidelberg
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This chapter presents some of the recent modified variants of Particle Swarm Optimization (PSO). The main focus is on the design and implementation of the modified PSO based on diversity, Mutation, Crossover and efficient Initialization using different distributions and Low-discrepancy sequences. These algorithms are applied to various benchmark problems including unimodal, multimodal, noisy functions and real life applications in engineering fields. The effectiveness of the algorithms is discussed.