A dynamical evolutionary algorithm for constrained optimization problems

被引：0
|
作者：
Zou, XF [1 ]
Kang, LS [1 ]
Li, YX [1 ]
机构：
[1] Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Peoples R China
来源：
CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002年
关键词：
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：
In this paper, we present an effective dynamical evolutionary algorithm (DEA) to handle constrained optimization problems. The novelty of DEA is that we design a new select mechanism based on the principle of energy minimization of statistical mechanics. The algorithm has been evaluated numerically using several benchmark problems. The numerical results show our approach is superior to any other published results known by the authors.
引用
收藏
页码：890 / 895
页数：6
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