| 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 |