Hybridization of Adaptivity and Chaotic Dynamics for Differential Evolution
作者： Roman Senkerik , Michal Pluhacek , Donald Davendra , Ivan Zelinka , Zuzana Kominkova Oplatkova
DOI: 10.1007/978-3-319-19824-8_12
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摘要: This research deals with the hybridization of two modern approaches for evolutionary algorithms, which are adaptivity and complex chaotic dynamics. paper aims on investigations chaos-driven adaptive Differential Evolution (DE) concept. is aimed at embedding discrete dissipative systems in form pseudo random number generators state art representative jDE. Repeated simulations different driving were performed IEEE CEC 13 benchmark set. Finally, obtained results compared canonical not-chaotic
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sci-hub.se 参考文章(23)
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