GENETIC ALGORITHMS IN PIPELINE OPTIMIZATION.

被引：14
|
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.
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页码：128 / 141
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