A hybrid genetic algorithm for battery swap stations location and inventory problem
by Jun Yang; Hao Sun
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 7, No. 3, 2015

Abstract: This paper studies the electric vehicles battery swap station location and inventory problem (EV-LIP) which determines the location and battery inventory of battery swap stations. The EV-LIP is formulated as an integer program with deterministic traffic flow and a modified genetic algorithm (GA) is implemented. Next, a chance constrained function is constructed to extend the model with stochastic traffic flow and a simulation procedure is embedded into the GA. The results of comparative experiments show that the algorithm performs well. Moreover, the model is applied to a practical network and sensitivity analyses on driving range and service level are discussed.

Online publication date: Wed, 29-Apr-2015

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