Solving the Travelling Salesman Problem by Using Artificial Bee Colony Algorithm

Solving the Travelling Salesman Problem by Using Artificial Bee Colony Algorithm

Authors

  • Siti Hafawati Jamaluddin Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Noor Ainul Hayati Mohd Naziri Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Norwaziah Mahmud Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Nur Syuhada Muhammat Pazil Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka Branch

DOI:

https://doi.org/10.24191/jcrinn.v7i2.295

Keywords:

Travelling Salesman Problem, Artifical Bee Colony Algorithm, Optimisation

Abstract

Travelling Salesman Problem (TSP) is a list of cities that must visit all cities that start and end in the same city to find the minimum cost of time or distance. The Artificial Bee Colony (ABC) algorithm was used in this study to resolve the TSP. ABC algorithms is an optimisation technique that simulates the foraging behaviour of honey bees and has been successfully applied to various practical issues. ABC algorithm has three types of bees that are used by bees, onlooker bees, and scout bees. In Bavaria from the Library of Traveling Salesman Problem, the distance from one city to another has been used to find the best solution for the shortest distance. The result shows that the best solution for the shortest distance that travellers have to travel in all the 29 cities in Bavaria is 3974km.

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References

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Published

2022-09-01

How to Cite

Jamaluddin, S. H., Mohd Naziri, N. A. H., Mahmud, N., & Muhammat Pazil, N. S. (2022). Solving the Travelling Salesman Problem by Using Artificial Bee Colony Algorithm. Journal of Computing Research and Innovation, 7(2), 121–131. https://doi.org/10.24191/jcrinn.v7i2.295

Issue

Section

General Computing

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