An overview of evolutionary algorithms: practical issues and common pitfalls

被引：240

作者：

Whitley, D ^{[1
]}

机构：

[1] Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 USA

来源：

INFORMATION AND SOFTWARE TECHNOLOGY | 2001年 / 43卷 / 14期

关键词：

genetic algorithms; evolution strategies; genetic programming; evolutionary programming; search; automated programming; parallel algorithms;

D O I：

10.1016/S0950-5849(01)00188-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An overview of evolutionary algorithms is presented covering genetic algorithms, evolution strategies, genetic programming and evolutionary programming. The schema theorem is reviewed and critiqued. Gray codes, bit representations and real-valued representations are discussed for parameter optimization problems. Parallel Island models are also reviewed, and the evaluation of evolutionary algorithms is discussed. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：817 / 831

页数：15

共 50 条

[1]

[Anonymous], 1998, Genetic programming: an introduction

[2]

[Anonymous], 1996, GENETIC PROGRAMMING

[3]

[Anonymous], 1980, LEARNING SYSTEM BASE

[4]

[Anonymous], 1999, GENETIC PROGRAMMING

[5]

[Anonymous], 1991, Handbook of genetic algorithms

[6]

Back T., 1991, P 4 INT C GEN ALG, P2

[7]

Back T., 1996, EVOLUTIONARY ALGORIT

[8]

Baker J. E., 1987, P 2 INT C GEN ALG, P14, DOI DOI 10.1007/S10489-006-0018-Y

[9] EFFICIENT GENERATION OF BINARY REFLECTED GRAY CODE AND ITS APPLICATIONS [J].

BITNER, JR ;

EHRLICH, G ;

REINGOLD, EM .

COMMUNICATIONS OF THE ACM, 1976, 19 (09) :517-521

[10]

Davis L., 1991, PROC INT C GENETIC A, P18

← 1 2 3 4 5 →