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Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study

by Muhammed Basheer Jasser, Mohamad Sarmini, Rauf Yaseen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 9
Year of Publication: 2014
Authors: Muhammed Basheer Jasser, Mohamad Sarmini, Rauf Yaseen
10.5120/16819-6587

Muhammed Basheer Jasser, Mohamad Sarmini, Rauf Yaseen . Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study. International Journal of Computer Applications. 96, 9 ( June 2014), 1-8. DOI=10.5120/16819-6587

@article{ 10.5120/16819-6587,
author = { Muhammed Basheer Jasser, Mohamad Sarmini, Rauf Yaseen },
title = { Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 9 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number9/16819-6587/ },
doi = { 10.5120/16819-6587 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:48.648799+05:30
%A Muhammed Basheer Jasser
%A Mohamad Sarmini
%A Rauf Yaseen
%T Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 9
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traveler sales man problem is known research problem which has a lot of industrial applications. A lot of algorithms has been proposed to solve TSP, some of Ant Colony Optimization (ACO) and Bee Colony Optimization (BCO) algorithms. BCO algorithm has variations and enhancements to improve the performance. In this paper, a experimental comparison study between the basic Ant Colony Optimization and enhanced Bee Colony Optimization algorithms is done. Both ACO and enhanced BCO have been implemented using MATLAB. The comparison study includes comparing the time consumed, solution quality and algorithmic complexity in order to prove the effictivness and efficiency of each. The experimental study showed that the basic ACO outperforms the enhanced BCO in the required consumed time to get the solution path, while enhanced BCO proved to provide better solution quality.

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Index Terms

Computer Science
Information Sciences

Keywords

ACO BCO TSP

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