Chaos Driven PSO with Ensemble of Priority Factors
作者： Michal Pluhacek , Roman Senkerik , Ivan Zelinka , Donald Davendra
DOI: 10.1007/978-3-319-07401-6_9
关键词:
摘要: In this paper a new approach for PSO algorithm driven by chaotic pseudorandom number generator is investigated. The ensemble learning method that has been successfully implemented in many evolutionary computational techniques applied here the selection of priority factors velocity calculations formula. goal to improve performance chaos PSO. promising results are compared with previously published SPSO-2011 on CEC´ 13 benchmark set.
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