Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters

被引：1206

作者：

Wang, Yong ^{[1
]}

Cai, Zixing ^{[1
]}

Zhang, Qingfu ^{[2
]}

机构：

[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China

[2] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

来源：

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION | 2011年 / 15卷 / 01期

基金：

中国国家自然科学基金; 高等学校博士学科点专项科研基金;

关键词：

Control parameters; differential evolution; global numerical optimization; trial vector generation strategy; GLOBAL OPTIMIZATION;

D O I：

10.1109/TEVC.2010.2087271

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Trial vector generation strategies and control parameters have a significant influence on the performance of differential evolution (DE). This paper studies whether the performance of DE can be improved by combining several effective trial vector generation strategies with some suitable control parameter settings. A novel method, called composite DE (CoDE), has been proposed in this paper. This method uses three trial vector generation strategies and three control parameter settings. It randomly combines them to generate trial vectors. CoDE has been tested on all the CEC2005 contest test instances. Experimental results show that CoDE is very competitive.

引用

页码：55 / 66

页数：12

共 26 条

[1]

[Anonymous], 2002, ADV INTELL SYST FUZZ

[2]

[Anonymous], NEW IDEAS OPTIMIZATI

[3]

[Anonymous], P IEEE C EV COMP

[4]

[Anonymous], P GEN EV COMP C

[5]

Auger A, 2005, IEEE C EVOL COMPUTAT, P1769

[6] Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems [J].

Brest, Janez ;

Greiner, Saso ;

Boskovic, Borko ;

Mernik, Marjan ;

Zumer, Vijern .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (06) :646-657

[7] Two improved differential evolution schemes for faster global search [J].

Das, Swagatam ;

Konar, Amit ;

Chakraborty, Uday K. .

GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2, 2005, :991-998

[8] Differential Evolution Using a Neighborhood-Based Mutation Operator [J].

Das, Swagatam ;

Abraham, Ajith ;

Chakraborty, Uday K. ;

Konar, Amit .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 13 (03) :526-553

[9] Parameter control in evolutionary algorithms [J].

Eiben, AE ;

Hinterding, R ;

Michalewicz, Z .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 1999, 3 (02) :124-141

[10] A trigonometric mutation operation to differential evolution [J].

Fan, HY ;

Lampinen, J .

JOURNAL OF GLOBAL OPTIMIZATION, 2003, 27 (01) :105-129

← 1 2 3 →