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Milad Akbari

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Journal article
Published: 04 April 2018 in Sustainability
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The advent of alternative vehicle technologies such as Electrical Vehicles (EVs) is an efficient effort to reduce the emission of carbon oxides and nitrogen oxides. Ironically, EVs poses concerns related to vehicle recharging and management. Due to the significance of charging station infrastructure, electric vehicles’ charging stations deployment is investigated in this work. Its aim is to consider several limitations such as the power of charging station, the average time needed for each recharge, and traveling distance per day. Initially, a mathematical formulation of the problem is framed. Then, this problem is optimized by application of Genetic Algorithm (GA), with the objective to calculate the necessary number of charging stations then finding the best positions to locate them to satisfy the clients demand.

ACS Style

Milad Akbari; Morris Brenna; Michela Longo. Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm. Sustainability 2018, 10, 1076 .

AMA Style

Milad Akbari, Morris Brenna, Michela Longo. Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm. Sustainability. 2018; 10 (4):1076.

Chicago/Turabian Style

Milad Akbari; Morris Brenna; Michela Longo. 2018. "Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm." Sustainability 10, no. 4: 1076.