A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An enhanced evolutionary method for routing a fleet of electric modular vehicles
The adoption of electric vehicles are an environmental friendly initiative and a cost-effective opportunity because the number of these vehicles in the globe would be over 35 million by 2022. However, planning the routes of electric vehicles for timely delivery of goods, involves to take into account the limited energy which may lead the drivers to detour from the initial plan for recharging the batteries. In this work, the studied vehicles are modular. It means that they consist of an innovative system with one cabin for the driver and one or more modules for the goods. The research problem arising when planning the routes of such vehicles is recent. It is a particular routing problem (VRP) where the objective is the minimization of all the costs with some adding constraints linked with the recharges and the nature of the vehicles which are composed of modules. Therefore, the best current methods capable of addressing efficiently the VRP have been investigated. In this work, we propose to hybridize the population based evolutionary schema with two possible local search procedures. An intensive phase of experiments is operated to compare the approaches and show the usefulness of using the electric modules for freight delivery.
An enhanced evolutionary method for routing a fleet of electric modular vehicles
The adoption of electric vehicles are an environmental friendly initiative and a cost-effective opportunity because the number of these vehicles in the globe would be over 35 million by 2022. However, planning the routes of electric vehicles for timely delivery of goods, involves to take into account the limited energy which may lead the drivers to detour from the initial plan for recharging the batteries. In this work, the studied vehicles are modular. It means that they consist of an innovative system with one cabin for the driver and one or more modules for the goods. The research problem arising when planning the routes of such vehicles is recent. It is a particular routing problem (VRP) where the objective is the minimization of all the costs with some adding constraints linked with the recharges and the nature of the vehicles which are composed of modules. Therefore, the best current methods capable of addressing efficiently the VRP have been investigated. In this work, we propose to hybridize the population based evolutionary schema with two possible local search procedures. An intensive phase of experiments is operated to compare the approaches and show the usefulness of using the electric modules for freight delivery.
An enhanced evolutionary method for routing a fleet of electric modular vehicles
Rezgui, Dhekra (author) / Aggoune-Mtalaa, Wassila (author) / Bouziri, Hend (author) / Chaouachi-Siala, Jouhaina (author)
2019-06-01
926984 byte
Conference paper
Electronic Resource
English
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