Chaotic optimization

被引：0
|
作者：
Davendra, Donald [1 ]
Zelinka, Ivan [1 ]
Onwubolu, Godfrey [2 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin, Czech Republic
[2] Univ South Pacific, Sch Engn & Phys, Suva, Fiji
来源：
21ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2007: SIMULATIONS IN UNITED EUROPE | 2007年
关键词：
evolutionary heuristics; chaos; optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel approach symbolizing the principles of chaos and its application to evolutionary heuristics is discussed. The concept of local convergence and its symbolism to chaotic attractors is discussed. A novel approach of having a population driven evolutionary heuristic is then proposed combining the principle of chaotic attractors and edges.
引用
收藏
页码：339 / +
页数：2
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