Revisiting Traveling Salesman Problem (TSP): Analysis of GA and SA based Solutions

نویسندگان

چکیده

The purpose of this study to analyze genetic algorithm (GA) and simulated an-nealing (SA) based approaches applied well-known Traveling Salesman Prob-lem (TSP). As a NP-Hard problem, the goal TSP is find shortest route possible travel all cities, given set cities distances between cities. In order solve problem achieve optimal solution, permutations need be checked, which gets exponentially large as more are added. Our aim in provide comprehensive analysis solutions on two methods, GA SA, near solution for TSP. re-sults simulations show that although SA executed with faster comple-tion times comparing GA, it took iterations solution. Additional-ly, significantly accurate than solutions, where found relatively less iterations. original contribution well developed perform parameter analysis. Further, quantifiable comparison provided results from each terms performance solving

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ژورنال

عنوان ژورنال: International Journal of Recent Contributions from Engineering, Science & IT

سال: 2021

ISSN: ['2197-8581']

DOI: https://doi.org/10.3991/ijes.v9i2.22317