GENETIC ALGORITHMS IN PIPELINE OPTIMIZATION.

被引：15

作者：

Goldberg, David E. ^{[1
]}

Chie Hsiung Kuo ^{[1
]}

机构：

[1] Univ of Alabama, Tuscaloosa, AL, USA, Univ of Alabama, Tuscaloosa, AL, USA

来源：

Journal of Computing in Civil Engineering | 1987年 / 1卷 / 02期

关键词：

COMPUTER PROGRAMMING - Algorithms - GENETIC ENGINEERING - Applications - OPTIMIZATION;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The application of a genetic algorithm to the steady state optimization of a serial liquid pipeline is considered. Genetic algorithms are search procedures based upon the mechanics of natural genetics, combining a Darwinian survival-of-the-fittest philosophy with a random yet structured information exchange among a population of artificial chromosomes. Computer results show surprising speed as near-optimal results are obtained after examining a small fraction of the search space. The method is ready for application to more difficult optimization problems in civil engineering.

引用

页码：128 / 141