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Solution Concept in TSP Problem Applied to Genetic Algorithm


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1 Department of Computer Applications, SRM University, Chennai, Tamilnadu, India
     

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The main purpose of this study is to propose a new representation method of chromosomes using binary matrix and new fittest criteria to be used as method for finding the optimal solution for TSP. The concept of the proposed method is taken from genetic algorithm of artificial inelegance as a basic ingredient which has been used as search algorithm to find the near-optimal solutions. Here we are introducing the new fittest criteria for crossing over, and applying the algorithm on Symmetric as well as asymmetric TSP, also presenting asymmetric problem in a new and different way.

Keywords

Genetic Algorithm, Fittest Criteria, Asymmetric Travelling Salesman Problem.
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  • Solution Concept in TSP Problem Applied to Genetic Algorithm

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Authors

J. Vasavi
Department of Computer Applications, SRM University, Chennai, Tamilnadu, India

Abstract


The main purpose of this study is to propose a new representation method of chromosomes using binary matrix and new fittest criteria to be used as method for finding the optimal solution for TSP. The concept of the proposed method is taken from genetic algorithm of artificial inelegance as a basic ingredient which has been used as search algorithm to find the near-optimal solutions. Here we are introducing the new fittest criteria for crossing over, and applying the algorithm on Symmetric as well as asymmetric TSP, also presenting asymmetric problem in a new and different way.

Keywords


Genetic Algorithm, Fittest Criteria, Asymmetric Travelling Salesman Problem.

References