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Dynamic Multi-Depot Electric Vehicle Routing Problem With Vehicle-To-Vehicle (V2V) Charging in The Context Of Smart Cities

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dc.contributor.author BENCHELIH, Imane
dc.date.accessioned 2025-12-21T12:49:23Z
dc.date.available 2025-12-21T12:49:23Z
dc.date.issued 2025-06-30
dc.identifier.uri http://hdl.handle.net/STDB_UNAM/666
dc.description.abstract This study investigates the Electric Vehicle Routing Problem with Vehicle-to-Vehicle (V2V) charging in smart city logistics. It first analyzes mono-period scenarios with and without time windows using a CPLEX-based mathematical model to assess the impact of temporal constraints on routing performance. Then, it addresses a dynamic multi-period version using CPLEX and the Artificial Bee Colony (ABC) metaheuristic. Results highlight the trade-offs between planning flexibility, solution quality, and computational efficiency, offering insights for sustainable and collaborative urban transport systems . en_US
dc.language.iso en en_US
dc.publisher Directeur: Mr. Fouad MALIKI/ CO-Directeur: Mr. Abdelghani BEKRAR en_US
dc.subject Electric Vehicle Routing Problem (EVRP), Vehicle-to-Vehicle charging (V2V) , Urban Logistics , Time window, Mono -Multi-period optimization ,CPLEX , Artificiel bees colonny ABC en_US
dc.title Dynamic Multi-Depot Electric Vehicle Routing Problem With Vehicle-To-Vehicle (V2V) Charging in The Context Of Smart Cities en_US
dc.type Thesis en_US


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