Abstract
Plug-in Hybrid Electric Vehicles (PHEVs), as a new type of environmental-friendly low cost transportation, have attracted growing interests for logistics. The path-planning optimization for PHEV has become a major challenge. In fact, PHEV-based routing optimization is a type of hybrid vehicle routing problem (HVRP). Compared with the traditional Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP), the PHEV routing problem should consider more constraints, such as time limits, capacity constraints (including fuel tank capacity and battery capacity), electric stations, fuel stations and so forth. In this paper, a Mixed Integer Linear Programming formulation is presented and a novel hybrid metaheuristic approach (HMA_SVND) is proposed. Our method is a combination of memetic algorithm (MA), sequential variable neighborhood descent (SVND) and a revised 2_opt method. Comparative studies show that our proposed method outperformed previous works.
Highlights
Transportation plays an important role in the logistics system
This study proposes a new hybrid metaheuristic which combines the memetic algorithm with a powerful local search technique sequential variable neighborhood descent (SVND); the experimental results show that our algorithm obtains better results than previous ones
Inspired by the works of Yu et al [8], Erdoğan [5] and Mancini [6], we describe the problem as follows—the Plug-in Hybrid Electric Vehicles (PHEVs) routing problem can be defined as an undirected complete graph G = (V, E), where vertex set V is a combination of the customer set I = {v1, v2, . . . , vn }, the depot v0, a set of fuel stations (S f ) and a set of electric stations (Se )
Summary
Transportation plays an important role in the logistics system. Transportation for logistic mainly contained two phases: sending raw materials from suppliers to manufacturers and the delivery of finished products from manufacturers to customers [1]. Current transportation mostly employs fuel powered vehicles, which emit a lot of greenhouse gases (GHG) and harmful substances, such as carbon dioxide and sulfide, causing various environmental problems. Energy saving and emission reduction are more than necessary for logistic transportation. The conception of green logistics has been proposed. It has quickly become a hot research subject. By optimizing the usage of logistic resources, it focuses on restraining the environmental harm while reducing the whole logistic cost
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