A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm

<p style="font: 13.33px/20px Tahoma, Geneva, sans-serif; text-align: left; color: #515151; text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: #eceaeb; -webkit-text-...

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Main Authors: Tevfik YILDIRIM, Can Berk KALAYCI, Özcan MUTLU
Format: Article
Language:English
Published: Pamukkale University 2016-02-01
Series:Pamukkale University Journal of Engineering Sciences
Online Access:http://dergipark.ulakbim.gov.tr/pajes/article/view/5000180424
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author Tevfik YILDIRIM
Can Berk KALAYCI
Özcan MUTLU
author_facet Tevfik YILDIRIM
Can Berk KALAYCI
Özcan MUTLU
author_sort Tevfik YILDIRIM
collection DOAJ
description <p style="font: 13.33px/20px Tahoma, Geneva, sans-serif; text-align: left; color: #515151; text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: #eceaeb; -webkit-text-stroke-width: 0px;">Traveling Salesman Problem (TSP) is the problem of finding a minimum distance tour of cities beginning and ending at the same city and that each city are visited only once. As the number of cities increases, it is difficult to find an optimal solution by exact methods in a reasonable duration. Therefore, in recent five decades many heuristic solution methods inspired of nature and biology have been developed. In this paper, a new metaheuristic method inspired of the by-passing the obstacle strategy of blind mole rats living in their individual tunnel systems under the soil is designed for solving TSP. The method is called as Blind Mole-rat Algorithm. The proposed algorithm is tested on different size of symmetric TSP problems and the results are compared to the best known results. Initial test results are promising although proposed metaheuristic is not yet competitive enough among other algorithms in the literature.</p><strong style="text-align: left; color: #515151; text-transform: none; line-height: 20px; text-indent: 0px; letter-spacing: normal; font-family: Tahoma, Geneva, sans-serif; font-size: 13.33px; font-style: normal; font-variant: normal; word-spacing: 0px; white-space: normal; widows: 1; background-color: #eceaeb; -webkit-text-stroke-width: 0px;">Keywords:</strong><span style="font: 13.33px/20px Tahoma, Geneva, sans-serif; text-align: left; color: #515151; text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; float: none; display: inline !important; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: #eceaeb; -webkit-text-stroke-width: 0px;"> Traveling salesman problem, Combinatorial optimization, Metaheuristic, Blind mole-Rat algorithm</span>
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spelling doaj.art-d603cf54343f4919b0ef30c141cd1ee52023-02-15T16:19:02ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812016-02-0122164705000157553A novel metaheuristic for traveling salesman problem: blind mole-rat algorithmTevfik YILDIRIMCan Berk KALAYCIÖzcan MUTLU<p style="font: 13.33px/20px Tahoma, Geneva, sans-serif; text-align: left; color: #515151; text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: #eceaeb; -webkit-text-stroke-width: 0px;">Traveling Salesman Problem (TSP) is the problem of finding a minimum distance tour of cities beginning and ending at the same city and that each city are visited only once. As the number of cities increases, it is difficult to find an optimal solution by exact methods in a reasonable duration. Therefore, in recent five decades many heuristic solution methods inspired of nature and biology have been developed. In this paper, a new metaheuristic method inspired of the by-passing the obstacle strategy of blind mole rats living in their individual tunnel systems under the soil is designed for solving TSP. The method is called as Blind Mole-rat Algorithm. The proposed algorithm is tested on different size of symmetric TSP problems and the results are compared to the best known results. Initial test results are promising although proposed metaheuristic is not yet competitive enough among other algorithms in the literature.</p><strong style="text-align: left; color: #515151; text-transform: none; line-height: 20px; text-indent: 0px; letter-spacing: normal; font-family: Tahoma, Geneva, sans-serif; font-size: 13.33px; font-style: normal; font-variant: normal; word-spacing: 0px; white-space: normal; widows: 1; background-color: #eceaeb; -webkit-text-stroke-width: 0px;">Keywords:</strong><span style="font: 13.33px/20px Tahoma, Geneva, sans-serif; text-align: left; color: #515151; text-transform: none; text-indent: 0px; letter-spacing: normal; word-spacing: 0px; float: none; display: inline !important; white-space: normal; widows: 1; font-size-adjust: none; font-stretch: normal; background-color: #eceaeb; -webkit-text-stroke-width: 0px;"> Traveling salesman problem, Combinatorial optimization, Metaheuristic, Blind mole-Rat algorithm</span>http://dergipark.ulakbim.gov.tr/pajes/article/view/5000180424
spellingShingle Tevfik YILDIRIM
Can Berk KALAYCI
Özcan MUTLU
A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
Pamukkale University Journal of Engineering Sciences
title A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
title_full A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
title_fullStr A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
title_full_unstemmed A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
title_short A novel metaheuristic for traveling salesman problem: blind mole-rat algorithm
title_sort novel metaheuristic for traveling salesman problem blind mole rat algorithm
url http://dergipark.ulakbim.gov.tr/pajes/article/view/5000180424
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