@inproceedings{34d1d0024c7142978619998015e710ce,
title = "Optimizing EV Chargers Location via Integer Programming",
abstract = "There is no question to the fact that electric vehicles (EVs) are the most viable solution to the climate change that the planet has long been combating. Along the same line, it is a salient subject to expand the availability of charging infrastructure, which quintessentially necessitates the optimization of the charger's locations. This paper proposes to formulate the optimal EV charger location problem into a facility location problem (FLP). As an effort to find an efficient method to solve the well-known nonpolynomial deterministic (NP)-hard problem, we present a comparative quantification among several representative solving techniques.",
keywords = "Electric vehicle (EV) charging, Facility location problem (FLP), Integer program; Optimization solvers",
author = "Seungmo Kim and Yeonho Jeong and Nam, {Jae Won}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 ; Conference date: 19-06-2024 Through 21-06-2024",
year = "2024",
doi = "10.1109/ITEC60657.2024.10598857",
language = "English",
series = "2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024",
address = "United States",
}
