Genetic Algorithm with Cluster-first Route-second to Solve the Capacitated Vehicle Routing Problem with Time Windows
نویسندگان
چکیده
In a distribution problem, designing the right route can minimize total transportation costs. Therefore, this research aims to design that produces minimal distance by clustering demand points first. We generated method cluster considering proximity among and vehicle capacity. solving we are using p-median determine genetic algorithm with characteristics of CVRPTW problem. or capacitated routing problem time windows is type VRP where there limitation capacity service range its point. This concludes provides better result in terms costs up 16.26% compared existing delivery schedule. The performance shows an average difference 1.73%, exact optimal method. 89.68% faster than computational time.
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ژورنال
عنوان ژورنال: Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
سال: 2021
ISSN: ['2087-7439']
DOI: https://doi.org/10.9744/jti.23.1.75-82