A quick Heuristic and a general search algorithm for traveling salesman problem

This paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through it and the randomized greedy heuristic algori...

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Main Authors: Wang Chao, Wang Deguang, Jin Chun
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01097.pdf
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author Wang Chao
Wang Deguang
Jin Chun
author_facet Wang Chao
Wang Deguang
Jin Chun
author_sort Wang Chao
collection DOAJ
description This paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through it and the randomized greedy heuristic algorithm (RGH) which greedy heuristic algorithm is modified, a general meta-heuristic search algorithm framework is built. The general search algorithm (GSA) is based on a set of initial solutions, and continuous 2-opt operations are performed, so as to search for solutions in better quality. The data from the experiment reveals that the performance of IMNEFOTC is better than the traditional greedy algorithm, and the GSA can obtain a pretty satisfactory solution in a reasonable range of time.
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spelling doaj.art-264f499eb9804481be400771d2e1fd532022-12-22T04:21:10ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013600109710.1051/e3sconf/202236001097e3sconf_vesep2022_01097A quick Heuristic and a general search algorithm for traveling salesman problemWang Chao0Wang Deguang1Jin Chun2School of Software, Dalian University of Foreign LanguagesSchool of Software, Dalian Jiaotong UniversityInstitute of Systems Engineering, Dalian University of TechnologyThis paper puts forward a constructive heuristic algorithm called the method of inserting the minimum neighbor edge from outside to the center (IMNEFOTC) that can be applied to solve large-scale and ultra-large-scale travelling salesman problems. Through it and the randomized greedy heuristic algorithm (RGH) which greedy heuristic algorithm is modified, a general meta-heuristic search algorithm framework is built. The general search algorithm (GSA) is based on a set of initial solutions, and continuous 2-opt operations are performed, so as to search for solutions in better quality. The data from the experiment reveals that the performance of IMNEFOTC is better than the traditional greedy algorithm, and the GSA can obtain a pretty satisfactory solution in a reasonable range of time.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01097.pdftraveling salesman problemgreedy heuristic2-opt operationsimulate annealing
spellingShingle Wang Chao
Wang Deguang
Jin Chun
A quick Heuristic and a general search algorithm for traveling salesman problem
E3S Web of Conferences
traveling salesman problem
greedy heuristic
2-opt operation
simulate annealing
title A quick Heuristic and a general search algorithm for traveling salesman problem
title_full A quick Heuristic and a general search algorithm for traveling salesman problem
title_fullStr A quick Heuristic and a general search algorithm for traveling salesman problem
title_full_unstemmed A quick Heuristic and a general search algorithm for traveling salesman problem
title_short A quick Heuristic and a general search algorithm for traveling salesman problem
title_sort quick heuristic and a general search algorithm for traveling salesman problem
topic traveling salesman problem
greedy heuristic
2-opt operation
simulate annealing
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01097.pdf
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