GENETIC ALGORITHMS COMPARED TO OTHER TECHNIQUES FOR PIPE OPTIMIZATION

被引：460

作者：

SIMPSON, AR

DANDY, GC

MURPHY, LJ

机构：

[1] Dept. of Civ. and Envir. Engrg., Univ. of Adelaide, Adelaide, SA

来源：

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE | 1994年 / 120卷 / 04期

关键词：

D O I：

10.1061/(ASCE)0733-9496(1994)120:4(423)

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The genetic algorithm technique is a relatively new optimization technique. In this paper we present a methodology for optimizing pipe networks using genetic algorithms. Unknown decision variables are coded as binary strings. We investigate a three-operator genetic algorithm comprising reproduction, crossover, and mutation. Results are compared with the techniques of complete enumeration and nonlinear programming. We apply the optimization techniques to a case study pipe network. The genetic algorithm technique finds the global optimum in relatively few evaluations compared to the size of the search space.

引用

页码：423 / 443

页数：21