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Optimizing the Capacitated Vehicle Routing Problem at PQR Company: A Genetic Algorithm and Grey Wolf Optimizer Approach.
- Source :
- Procedia Computer Science; 2024, Vol. 234, p420-427, 8p
- Publication Year :
- 2024
-
Abstract
- Product distribution for companies in the industrial sector is an important issue as it is necessary to increase customer satisfaction and reduce costs. In this study, Nondominated-Sorting Genetic Algorithm II is used to solve Capacitated Vehicle Routing Problem in a case study dataset from the biggest fertilizer company in Indonesia. NSGA-II algorithm reduced the need for vehicles in product distribution with an advantage of 44.7%, while GWO algorithm yielded better results with an increase of time of 16.9%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 234
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 176900801
- Full Text :
- https://doi.org/10.1016/j.procs.2024.03.023