Review of Algorithms to Solve Travelling Salesman Problem

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.

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Publication Details

Journal
Journal of Science Innovation and Technology Research
Published
2025-03-14
DOI
https://doi.org/10.70382/ajsitr.v7i9.019
Citations
1
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.48
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article

Review of Algorithms to Solve Travelling Salesman Problem

Aderemi Elisha Okeyinka, Abdulganiyu Abdulrahman, Ibrahim Abdullah, Ogbuloko Vincent Eche
1 citations
Journal of Science Innovation and Technology Research
Metaheuristic Optimization Algorithms Research
2.48
article

Review of Algorithms to Solve Travelling Salesman Problem

Aderemi Elisha Okeyinka, Abdulganiyu Abdulrahman, Ibrahim Abdullah, Ogbuloko Vincent Eche
article en
1 citations

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.

Journal of Science Innovation and Technology Research
Ibrahim Badamasi Babangida University (NG)
Openalex Percentile: Top 11%
Metaheuristic Optimization Algorithms Research
2.48
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Review of Algorithms to Solve Travelling Salesman Problem — Aderemi Elisha Okeyinka, Abdulganiyu Abdulrahman, et al. · Journal of Science Innovation and Technology Research (2025) | TGRS Research Map | TGRS