 Optimal route selection model in freight transport with customer collection approach using genetic and fuzzy algorithmsMohammad Saeid Erfannejad, Ali Paydar and Salman Safavi International Journal of Operational Research, 2024, vol. 49, issue 4, 471-502 Abstract: In this research, a vehicle routing problem model is presented by considering fuzzy capacity, where vehicles must collect goods from various customers and return them to the central building via the shortest route possible. Since customers inaccurately declare space needed for freight transport and the size of cargo being collected is not clear, hence proving it necessary to use fuzzy logic in modelling the vehicle routing problem. Therefore, after generalising the vehicle routing problem to the fuzzy model and considering the two parameters of remaining capacity and occupied capacity, the details of a framework based on the metaheuristic genetic optimisation algorithm is introduced to solve this optimisation problem. According to the results from ten scenarios where the vehicle problem is obtained through this research via Matlab software, it could be concluded that solutions from the genetic algorithms with crossover and mutation operations are always converged with fuzzy constraints for the vehicle routing problem. Keywords: optimal route; genetic algorithms; freight transport; fuzzy; customer. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:49:y:2024:i:4:p:471-502 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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