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Block-matrix-based approach for the hybrid vehicle routing problem with fuzzy travel time and transportation type selection

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Mendeley Data2024-01-31 更新2024-06-27 收录
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https://figshare.com/articles/Block-matrix-based_approach_for_the_hybrid_vehicle_routing_problem_with_fuzzy_travel_time_and_transportation_type_selection/7649486/1
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In this study, we propose a novel hybrid model for the vehicle routing problem that combines fuzzy travel time and transportation type selection between milk-run and cross-dock strategies to derive an optimal transportation plan. Furthermore, we present a novel block-matrix-based approach for the hybrid model to explore optimal transportation plans in an intuitive, reasonable, effective, and efficient form. The proposed block-matrix-based approach derives an optimal transportation plan by solving a hybrid vehicle routing problem that considers not only fuzzy travel time, but also transportation type selection between milk-run and cross-dock strategies. An extended biogeography-based optimization (BBO) algorithm is proposed to effectively derive a transportation plan with the optimal degree of plant satisfaction by extending the operators of migration and mutation, and introducing a novel self-adaptive mutation rate, as well as a secondary mutation operator.
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2024-01-31
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