OPTIMIZATION AND APPLICATION OF GENETIC ALGORITHM

被引：0

作者：

Tang Maobin ^{[1
]}

Li Jiahong ^{[1
]}

Zhou Quan ^{[1
]}

Liu Miao ^{[1
]}

Li Jiuhao

机构：

[1] Guangzhou Univ, Coll Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012) | 2012年

关键词：

Genetic Algorithm; Survival of the Fittest; Performance Optimization;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Genetic algorithm is an approach simulating biological genetic inheritance. In genetic algorithm, the initial population is formed by encoding, then, added by selection operation, crossover operation and mutation operation according to individual fitness assessment so as to simulate the process of evolution of biological survival of the fittest. In terms of optimizing search, genetic manipulation can optimize the solution generation after generation and make it close to the optimal solution.

引用

页码：55 / 60

页数：6

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