A multi-stage stochastic integer programming approach for locating electric vehicle charging stations

Electric vehicles (EVs) represent one of the promising solutions to face environmental and energy concerns in transportation. Due to the limited range of EVs, deploying a charging infrastructure enabling EV drivers to carry out long distance trips is a key step to foster the widespread adoption of E...

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Veröffentlicht in:	Computers & operations research Jg. 117; S. 104888 - 19
Hauptverfasser:	Kadri, Ahmed Abdelmoumene, Perrouault, Romain, Boujelben, Mouna Kchaou, Gicquel, Céline
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.05.2020 Pergamon Press Inc Elsevier
Schlagworte:	Benders decomposition Computer Science Computer simulation Decision making Demand Electric vehicle charging Electric vehicle charging stations Electric vehicles Exact solutions Facility location problem Genetic algorithm Genetic algorithms Heuristic methods Integer programming Integers Mathematical programming Multi-stage stochastic optimization Operations Research Optimization Recharging Scenario tree Uncertainty Electric vehicles Scenario tree Facility location problem Benders decomposition Genetic algorithm Multi-stage stochastic optimization
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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