Capacitated Vehicle Routing Problem (CVRP) is difficult to solve by the traditional precise methods in the transportation area. The metaheuristic algorithm is often used to solve CVRP and can obtain approximate optimal solutions. Phasmatodea population evolution algorithm (PPE) is a recently proposed metaheuristic algorithm. Given the shortcomings of PPE, such as its low convergence precision, its nature to fall into local optima easily, and it being time-consuming, we propose an advanced Phasmatodea population evolution algorithm (APPE). In APPE, we delete competition, delete conditional acceptance and correspondingevolutionary trend update, and add jump mechanism, history-based searching, and population closing moving. Deleting competition and conditional acceptance and correspondingevolutionary trend update can shorten PPE running time. Adding a jump mechanism makes PPE more likely to jump out of the local optimum. Adding history-based searching and population closing moving improves PPE’s convergence accuracy. Then, we test APPE by CEC2013. We compare the proposed APPE with differential evolution (DE), sparrow search algorithm (SSA), Harris Hawk optimization (HHO), and PPE. Experiment results show that APPE has higher convergence accuracy and shorter running time. Finally, APPE also is applied to solve CVRP. From the test results of the instances, APPE is more suitable to solve CVRP.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Advanced Phasmatodea Population Evolution Algorithm for Capacitated Vehicle Routing Problem


    Beteiligte:
    Jiawen Zhuang (Autor:in) / Shu-Chuan Chu (Autor:in) / Chia-Cheng Hu (Autor:in) / Lyuchao Liao (Autor:in) / Jeng-Shyang Pan (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Improved Genetic Algorithm for Capacitated Vehicle Routing Problem

    Ren, C.Y. | British Library Conference Proceedings | 2013


    Improved Genetic Algorithm for Capacitated Vehicle Routing Problem

    Ren, C.Y. | British Library Conference Proceedings | 2013


    Hybrid Heuristic Algorithm for solving Capacitated Vehicle Routing problem

    AbdElAziz, Moh. M. / A. El-Ghareeb, Haitham / Ksasy, M. S. M. | BASE | 2014

    Freier Zugriff

    Capacitated vehicle routing problem model for carriers

    Irma-Delia Rojas-Cuevas / Santiago-Omar Caballero-Morales / Jose-Luis Martinez-Flores et al. | DOAJ | 2018

    Freier Zugriff

    Proposed Modified Clarke-Wright Saving Algorithm for Capacitated Vehicle Routing Problem

    Pamosoaji, A.K. / Dewa, P.K. / Krisnanta, J.V. | BASE | 2019

    Freier Zugriff