Global Sci-Tech
  • Year: 2017
  • Volume: 9
  • Issue: 3

A review on recent trends for solving travelling salesman problem using genetic algorithm

Department of Computer Science & Engineering, Al-Falah University, Faridabad, Haryana, India

*E-mail: rajeshsingh22@gmail.com

Online published on 20 November, 2017.

Abstract

NP-Complete and NP-Hard are toughest problems in computer science and engineering to solve. A lot of research has been done to solve these problems using traditional algorithm. Travelling Salesman Problem belong to NP-Complete set. In recent years many researches tries to solve this problems using soft computing techniques such as genetic algorithm. In this paper author discuss a critical review for solving TSP using genetic algorithm in recent years. A comparative analysis of the performance of different existing algorithms for solving TSP is also discussed. The comparative study will help many authors working in this area.

Keywords

Travelling Salesman Problem, Genetic Algorithm, NP-Complete, NP-Hard