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Based on Genetic Algorithm for Solving TSP Problem

Liu San-man

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Abstract

The use of genetic algorithm for TSP is researched.A meanwhile the simple method of genetic algorithm is design,basic principles,and basic steps is described.The simple genetic algorithm is described in the TSP application status.According to the diversity of individual and population distribution,the genetic algorithm to determine the cut-off algebra is proposed.By improving the crossover operator,adding initialization heuristic information,accuracy and convergence of genetic algorithm is improved.

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What this paper is about

The use of genetic algorithm for TSP is researched.A meanwhile the simple method of genetic algorithm is design,basic principles,and basic steps is described.The simple genetic algorithm is described in the TSP application status.According to the diversity of individual and population distribution,the genetic algorithm to determine the cut-off algebra is proposed.By improving the crossover operator,adding initialization heuristic information,accuracy and convergence of genetic algorithm is improved.

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Available abstract

The use of genetic algorithm for TSP is researched.A meanwhile the simple method of genetic algorithm is design,basic principles,and basic steps is described.The simple genetic algorithm is described in the TSP application status.According to the diversity of individual and population distribution,the genetic algorithm to determine the cut-off algebra is proposed.By improving the crossover operator,adding initialization heuristic information,accuracy and convergence of genetic algorithm is improved.

Key concepts: Crossover, Initialization, Computer science, Genetic algorithm, Population-based incremental learning, Genetic operator, Algorithm, Convergence (economics)

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