This study proposes an optimal cement transport vehicle routing plan by using the Sine Cosine Algorithm (SCA) was used in combination with different learning methods of opposition-based learning and mutation and crossover. This combined algorithm is called the hybrid SCA (HSCA). Developing a reasonable routing travel plan for commercial vehicles, for vehicles is made based on the needs of each store, the vehicle capacity, and the distance to each store must be considered. In order to prove the advantages of the developed SCA-OBL-MC (HSCA) algorithm, the performance of this algorithm was compared and evaluated against that of a paper that uses a specific model of 01 different case study and compares them with other algorithms. Thus, the findings of this research indicate that construction managers can utilize the hybrid sine cosine algorithm to create the most suitable routing plans for vehicles.


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    Titel :

    Cement Transport Vehicle Routing Problem with Hybrid Sine Cosine Optimization Algorithm in Construction Management


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Reddy, J. N. (Herausgeber:in) / Wang, Chien Ming (Herausgeber:in) / Luong, Van Hai (Herausgeber:in) / Le, Anh Tuan (Herausgeber:in) / Pham, Vu Hong Son (Autor:in) / Nguyen, Van Nam (Autor:in)

    Kongress:

    The International Conference on Sustainable Civil Engineering and Architecture ; 2023 ; Da Nang City, Vietnam July 19, 2023 - July 21, 2023



    Erscheinungsdatum :

    2023-12-12


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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