Hybridization of Adaptivity and Chaotic Dynamics for Differential Evolution

被引：1
|
作者：
Senkerik, Roman [1 ]
Pluhacek, Michal [1 ]
Davendra, Donald [2 ]
Zelinka, Ivan [2 ]
Oplatkova, Zuzana Kominkova [1 ]
Janostik, Jakub [1 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin 76001, Czech Republic
[2] Tech Univ Ostrava, Fac Elect Engn & Comp, Sci, Ostrava 70833, Czech Republic
来源：
MENDEL 2015: RECENT ADVANCES IN SOFT COMPUTING | 2015年 / 378卷
关键词：
Differential evolution; Deterministic chaos; jDE; PERFORMANCE; ALGORITHM;
D O I：
10.1007/978-3-319-19824-8_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This research deals with the hybridization of the two modern approaches for evolutionary algorithms, which are the adaptivity and complex chaotic dynamics. This paper aims on the investigations on the chaos-driven adaptive Differential Evolution (DE) concept. This paper is aimed at the embedding of discrete dissipative chaotic systems in the form of chaotic pseudo random number generators for the state of the art adaptive representative jDE. Repeated simulations for two different driving chaotic systems were performed on the IEEE CEC 13 benchmark set. Finally, the obtained results are compared with the canonical not-chaotic jDE.
引用
收藏
页码：149 / 158
页数：10
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