Hybrid differential evolution with multiplier updating method for nonlinear constrained optimization problems

被引：0
|
作者：
Lin, YC [1 ]
Hwang, KS [1 ]
Wang, FS [1 ]
机构：
[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 62102, Taiwan
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 introduce hybrid differential evolution with a multiplier updating method to solve constrained optimization problems. An adaptive scheme for penalty parameters is involved in the proposed algorithm so that smaller penalty parameters can be used and does not affect the final search results. Computational examples reveal that nearly identical minimum solutions can be obtained using the proposed algorithm even under wide variation of the initial penalty parameters.
引用
收藏
页码：872 / 877
页数：6
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