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New Approach for Solving Dynamic Traveling Salesman Problem with Hybrid Genetic Algorithms and Ant Colony Optimization

by Farhad Soleimanian Gharehchopogh, Isa Maleki, Masoum Farahmandian
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 1
Year of Publication: 2012
Authors: Farhad Soleimanian Gharehchopogh, Isa Maleki, Masoum Farahmandian
10.5120/8388-1997

Farhad Soleimanian Gharehchopogh, Isa Maleki, Masoum Farahmandian . New Approach for Solving Dynamic Traveling Salesman Problem with Hybrid Genetic Algorithms and Ant Colony Optimization. International Journal of Computer Applications. 53, 1 ( September 2012), 39-44. DOI=10.5120/8388-1997

@article{ 10.5120/8388-1997,
author = { Farhad Soleimanian Gharehchopogh, Isa Maleki, Masoum Farahmandian },
title = { New Approach for Solving Dynamic Traveling Salesman Problem with Hybrid Genetic Algorithms and Ant Colony Optimization },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 1 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number1/8388-1997/ },
doi = { 10.5120/8388-1997 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:02.296572+05:30
%A Farhad Soleimanian Gharehchopogh
%A Isa Maleki
%A Masoum Farahmandian
%T New Approach for Solving Dynamic Traveling Salesman Problem with Hybrid Genetic Algorithms and Ant Colony Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 1
%P 39-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Dynamic travelling salesman problem (DTSP) is one of the optimization issues which it is not solvable with classical methods. To solve this problem, various solutions in the literature can be seen that each has advantages and disadvantages. Genetic Algorithm (GA) and Ant Colony Optimization (ACO) have been good to solve the DTSP. In this paper, we highlight a new algorithm by combining genetic and ACO which gives us a better solution for DTSP. In hybrid algorithm, suitability of algorithm and travelled distance for DTSP has been considered. Obtained results suggest that Hybrid algorithm does not establish easily in the local optimum and possesses a good speed in convergence for comprehensive answer.

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Index Terms

Computer Science
Information Sciences

Keywords

DTSP Optimization GA ACO Hybrid algorithm

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