Review of Algorithms to Solve Travelling Salesman Problem

Authors

  • Ogbuloko Vincent Eche Department of Computer Science, Faculty of Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria Author
  • Aderemi Elisha Okeyinka Department of Computer Science, Faculty of Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria Author
  • Ibrahim Abdullah Department of Computer Science, Faculty of Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria Author
  • Abdulganiyu Abdulrahman Department of Computer Science, Faculty of Natural Sciences, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria Author

Abstract

The Travelling Salesman Problem (TSP) is a popular optimization problem in which shortest path of the salesperson travelling to all cities once and returning to the origin city is to be determined. This is done either by using exact algorithms or heuristic algorithms. The main concern with exact algorithms is that; exact algorithms can produce optimal solution but are always not practicable due to complexity of combinatorial optimization problem which are mostly NP- hard and the constraint of time. Therefore, TSP is solve using various heuristic algorithms which produce good enough but not necessarily optimal solution in reasonable time and drastically cuts down the solution space. This paper presents a review of different algorithms to solve TSP and find the shortest path through all the cities that the salesperson has to travel.

Keywords:

Combinatorial Optimization, Exact Algorithm, Heuristic Algorithm, TSP, NNH, NIH, FIH, CIH, RIH, NP – Hard

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DOI: 10.70382/ajsitr.v7i9.019
Views: 267  
Downloads: 43  

Published

2025-03-14

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Articles

How to Cite

Ogbuloko Vincent Eche, Aderemi Elisha Okeyinka, Ibrahim Abdullah, & Abdulganiyu Abdulrahman. (2025). Review of Algorithms to Solve Travelling Salesman Problem. Journal of Science Innovation and Technology Research, 7(9). https://doi.org/10.70382/ajsitr.v7i9.019

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