slugEnhanced Genetic Algorithm for solving Travelling Salesman Problem

Abstract

TSP is optimization problem which is used to find minimum path for salesperson. The Actual use of tsp is routing in network. Minimum path helps to reduce the overall receiving time and improves system performance. The work proposed here intends to test the performance of different Crossover used in GA and compare the performance for each of them and compare to others. Since there are other methods traditionally adopted to obtain the optimum distance for TSP. This work aims at establishing the superiority of Genetic Algorithms in optimizing TSP. Since precise minimum path remains a great challenge, the objective of this paper is to develop some new and practical model with computational intelligence algorithms.

Authors and Affiliations

Jyoti Girdhar, Kapil Chawla

Keywords

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  • EP ID EP18017
  • DOI -
  • Views 333
  • Downloads 10

How To Cite

Jyoti Girdhar, Kapil Chawla (2014). slugEnhanced Genetic Algorithm for solving Travelling Salesman Problem. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(5), -. https://europub.co.uk./articles/-A-18017