Constrained Optimization Evolutionary Algorithm

被引：0

作者：

Guo Meng ^{[1
]}

Qu Hongjian ^{[2
]}

机构：

[1] Henan Univ Urban Construct, Dept Comp Sci & Engn, Pingdingshan 467044, Henan, Peoples R China

[2] Donghua Univ, Glorious Sun Sch Business & Management, Shanghai 200051, Peoples R China

来源：

PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON APPLIED COMPUTER AND APPLIED COMPUTATIONAL SCIENCE: APPLIED COMPUTER AND APPLIED COMPUTATIONAL SCIENCE | 2009年

关键词：

constrained optimization; evolutionary algorithm; quantum evolutionary; direct comparison; dynamic adaptive strategy;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Constrained optimization evolutionary algorithm (COEA) is a mathematical programming problem frequently encountered in the field of engineering application. Solving constrained optimization problems by COEA has become an important research area of evolutionary computation in recent years. In this paper, the constrained optimization evolutionary algorithm is based on the quantum evolutionary algorithm. Some characteristic of QEA and lots of constrained optimization problems are taken into account and the COEA combines direct comparison method with the adaptive strategy which keeps a fixed proportion of infeasible individuals in quantum population. It has been integrated with QEA. Function simulation results show that CQEA proposed in this paper is effective.

引用

页码：446 / +

页数：3

共 8 条

[1]

AILIAN R, 2008, P 3 INT C PROD INN M, V10, P1428

[2]

DEB K, 1999, P ICANNGA 99 PORT SL, P284

[3]

Han KH, 2000, IEEE C EVOL COMPUTAT, P1354, DOI 10.1109/CEC.2000.870809

[4]

Lin Dan, 2001, Journal of Software, V12, P628

[5] Quantum-inspired genetic algorithms [J].

Narayanan, A ;

Moore, M .

1996 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '96), PROCEEDINGS OF, 1996, :61-66

[6]

POWELL D, 1993, PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, P424

[7]

SCHOENAUER M, 1997, P 7 INT C GEN ALG, P322

[8]

Wang Yong, 2009, Journal of Software, V20, P11, DOI 10.3724/SP.J.1001.2009.03363

← 1 →