A novel modified differential evolution algorithm for constrained optimization problems

被引：71
|
作者：
Zou, Dexuan [1 ]
Liu, Haikuan [1 ]
Gao, Liqun [2 ]
Li, Steven [3 ]
机构：
[1] Xuzhou Normal Univ, Sch Elect Engn & Automat, Xuzhou 221116, Jiangsu, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
[3] Univ S Australia, Div Business, Adelaide, SA 5001, Australia
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2011年 / 61卷 / 06期
基金：
美国国家科学基金会;
关键词：
Novel modified differential evolution algorithm; Constrained optimization problems; Scale factor; Crossover rate; Standstill; GENETIC ALGORITHMS; OPTIMAL-DESIGN; INTEGER;
D O I：
10.1016/j.camwa.2011.01.029
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A novel modified differential evolution algorithm (NMDE) is proposed to solve constrained optimization problems in this paper. The NMDE algorithm modifies scale factor and crossover rate using an adaptive strategy. For any solution, if it is at a standstill, its own scale factor and crossover rate will be adjusted in terms of the information of all successful solutions. We can obtain satisfactory feasible solutions for constrained optimization problems by combining the NMDE algorithm and a common penalty function method. Experimental results show that the proposed algorithm can yield better solutions than those reported in the literature for most problems, and it can be an efficient alternative to solving constrained optimization problems. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1608 / 1623
页数：16
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