@inproceedings{b595ce84e204416aa70b718c8ae0e9b9,
title = "Using AMPL/CPLEX to model and solve the electric vehicle routing problem (EVRP) with heterogeneous mixed fleet",
abstract = "Vehicle Routing Problem(VRP) is one of the most important and classical issues in the logistics distribution field. However, the excessive consumption of oil resources makes a dramatic increase in emissions of carbon dioxide in the atmosphere which causes a deterioration of the environment around us for the past few years. The electric vehicle(EV) is a better alternative which operates with batteries instead of using gasoline. In this paper, we present the Electric Vehicle Problem(EVRP) and describe it with a mathematical programming model. Then, we verity the model via the mathematic program software called AMPL/CPLEX and the mathematic instances are extracted from the Solomon's instances. We propose a programming algorithm as an exact solution approach for the EVRP. Problem examples and numerical calculation have been provided to evaluate the solution approach and the optimality.",
keywords = "AMPL/CPLEX, Electric Vehicle, Vehicle Routing Problem",
author = "Xiaorong Zuo and Chuan Zhu and Changhao Huang and Yiyong Xiao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7979321",
language = "英语",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4666--4670",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
address = "美国",
}