2005•Unpublished venueRequires access

Research on genetic algorithm

Xu Zhong

Abstract

Genetic algorithm is a random search and optimization method based on natural select and genetic mechanism of the living beings.It is successfully used in solving the complex optimization and the industrial engineering problem.Recently research on genetic algorithm has attracted a lot of attention from the learners at home and abroad.The research state and advances in genetic algorithm are discussed and surveyed in this paper.The basic algorithms,theory and implementation techniques of genetic algorithm are outlined.The performance analysis of genetic algorithm is evaluated.At last,the paper shows the advantages of genetic algorithm on solving the complex optimization problem by the example of traveling saleman.

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Key concepts: Genetic algorithm, Quality control and genetic algorithms, Meta-optimization, Genetic representation, Population-based incremental learning, Cultural algorithm, Computer science, Algorithm