Genetic Algorithms and Evolutionary Computation

被引：0

作者：

Meghna, Nagori ^{[1
]}

KaleJyoti ^{[2
]}

机构：

[1] Govt Engn Coll, Fac Engn, Aurangabad 431432, Maharashtra, India

[2] MGMc Engn Coll, Fac Engn, Nanded 411402, India

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2010年 / 10卷 / 12期

关键词：

Genetic Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Generally speaking, genetic algorithms are simulations of evolution, of what kind ever. In most cases, however, genetic algorithms are nothing else than probabilistic optimization methods which are based on the principles of evolution. Using simulation and Genetic Algorithms to improve cluster tool performance, Mooring Pattern Optimization using Genetic Algorithms. This paper is designed to cover a few important application aspects of genetic algorithm under a single umbrella.

引用

页码：126 / 133

页数：8

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