Abstract An improved dual grey wolf optimization (GWO) algorithm with binary and dogmatic parts were proposed. The up and down state of units were optimized by binary grey wolf optimization (bGWO), and the exchange velocity was modified by adding two dynamical factors in random number producing. The GWO was used in units’ load scheduling during the process of deciding up-down states and after the solution. One examples with 10 units including 24 period of time was simulated, the results showed the proposed algorithm improved convergence rate and accuracy of the solution.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem


    Beteiligte:
    Liu, Jian (Autor:in) / Liu, Sanming (Autor:in)


    Erscheinungsdatum :

    01.01.2017


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Automated guided vehicle path planning based on an improved grey wolf optimization algorithm

    Yang, Sen / Liu, Jun / Yang, Yuchen | British Library Conference Proceedings | 2022



    The Fourth-Party Logistics Routing Problem Using Ant Colony System-Improved Grey Wolf Optimization

    Fuqiang Lu / Wenjing Feng / Mengying Gao et al. | DOAJ | 2020

    Freier Zugriff

    Improved Grey Wolf Algorithm: A Method for UAV Path Planning

    Xingyu Zhou / Guoqing Shi / Jiandong Zhang | DOAJ | 2024

    Freier Zugriff