2014Journal of Shanxi Normal UniversityRequires access

The Application of Genetic Algorithm in Optimization Problems

Zhang Qing-fen

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Abstract

Genetic algorithm is a kind of reference for biological principle of natural selection and genetic stochastic search algorithm. In this paper of the basic concepts and the basic elements of the genetic algorithan are analysed. The principle of genetic algorithm and the implementation process are expounded. The genetic algorithm is applied to nonlinear function most value for solving function optimization problems. The results show that the algorithm is one of the most effective way.

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What this paper is about

Genetic algorithm is a kind of reference for biological principle of natural selection and genetic stochastic search algorithm. In this paper of the basic concepts and the basic elements of the genetic algorithan are analysed. The principle of genetic algorithm and the implementation process are expounded. The genetic algorithm is applied to nonlinear function most value for solving function optimization problems. The results show that the algorithm is one of the most effective way.

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Available abstract

Genetic algorithm is a kind of reference for biological principle of natural selection and genetic stochastic search algorithm. In this paper of the basic concepts and the basic elements of the genetic algorithan are analysed. The principle of genetic algorithm and the implementation process are expounded. The genetic algorithm is applied to nonlinear function most value for solving function optimization problems. The results show that the algorithm is one of the most effective way.

Key concepts: Meta-optimization, Genetic algorithm, Quality control and genetic algorithms, Cultural algorithm, Computer science, Mathematical optimization, Genetic representation, Selection (genetic algorithm)

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