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A Solution for Multi-objective Commodity Vehicle Routing Problem by NSGA-II

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86099402" target="_blank" >RIV/61989100:27240/14:86099402 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/61989100:27740/14:86099402

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1109/HIS.2014.7086201" target="_blank" >http://dx.doi.org/10.1109/HIS.2014.7086201</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HIS.2014.7086201" target="_blank" >10.1109/HIS.2014.7086201</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A Solution for Multi-objective Commodity Vehicle Routing Problem by NSGA-II

  • Popis výsledku v původním jazyce

    Vehicle routing is considered the basic issue in distribution management. In real-world problems, customer demand for some commodities increases on special situations. On the one hand, one of the factors that are very important for customers is the timely delivery of the demanded commodities. In this research, customers had several different kinds of demands. Therefore, a new routing model was introduced in the form of integer linear programming by combining the concepts of time windows and multiple demands and by considering the two contradictory goals of minimizing travel cost and maximizing demand coverage. Moreover, two approaches were designed for the problem-solving model based on the NSGA-II algorithm with diversification of the mutation operator structure. The two criteria of spread and coverage of non-dominated solutions were used to compare algorithms. Study of some typical created problems indicated the validity of the model and the computational efficiency of the proposed algorithm. The proposed algorithm could increase the criterion of solution spread by about 10%, and increased the number of obtained solutions on the Pareto border compared to other algorithms, which indicated its high efficiency. (C) 2014 IEEE.

  • Název v anglickém jazyce

    A Solution for Multi-objective Commodity Vehicle Routing Problem by NSGA-II

  • Popis výsledku anglicky

    Vehicle routing is considered the basic issue in distribution management. In real-world problems, customer demand for some commodities increases on special situations. On the one hand, one of the factors that are very important for customers is the timely delivery of the demanded commodities. In this research, customers had several different kinds of demands. Therefore, a new routing model was introduced in the form of integer linear programming by combining the concepts of time windows and multiple demands and by considering the two contradictory goals of minimizing travel cost and maximizing demand coverage. Moreover, two approaches were designed for the problem-solving model based on the NSGA-II algorithm with diversification of the mutation operator structure. The two criteria of spread and coverage of non-dominated solutions were used to compare algorithms. Study of some typical created problems indicated the validity of the model and the computational efficiency of the proposed algorithm. The proposed algorithm could increase the criterion of solution spread by about 10%, and increased the number of obtained solutions on the Pareto border compared to other algorithms, which indicated its high efficiency. (C) 2014 IEEE.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

    IN - Informatika

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2014

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    2014 14th International Conference on Hybrid Intelligent Systems, HIS 2014

  • ISBN

    978-1-4799-7633-1

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    6

  • Strana od-do

    12-17

  • Název nakladatele

    IEEE

  • Místo vydání

    New York

  • Místo konání akce

    Kuvajt

  • Datum konání akce

    14. 12. 2014

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000380435700039