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Comparison of metaheuristic methods by solving travelling salesman problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F15%3A39899996" target="_blank" >RIV/00216275:25510/15:39899996 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of metaheuristic methods by solving travelling salesman problem

  • Original language description

    Travelling salesman problem (TSP) belongs in basic problems of operations research. It is a NP-hard problem. The number of possible solutions of this problem is very high - it increases with the factorial of the number of the nodes at the graph. So evenwith nowadays computers it takes very large amount of time to solve TSP with exact methods. Therefore TSP is now usually solved with a heuristic (or metaheuristic) techniques, which provides a satisfactory solution in real-time. This paper focuses on four classical metaheuristic methods: tabu search, simulated annealing, genetic algorithm and ant colony optimization algorithm, and compares all algorithms using difference between best given solution and optimal solution as evaluation criterion. Computational results on several standard instances of TSP show efficiency of all scrutinized methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th International Scientific Conference INPROFORUM: Common challenges - Different solutions - Mutual dialogue

  • ISBN

    978-80-7394-536-7

  • ISSN

    2336-6788

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    116-120

  • Publisher name

    Jihočeská univerzita v Českých Budějovicích

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Nov 5, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article