Towards Experiments for Comparing Anytime Algorithms to Optimize Assignments of Electric Vehicles To Charging Stations

Charging of electric vehicles (EVs) on highways must be efficient for ensuring e-mobility because of the comparably limited range of EVs and the potentially very long charging times during longer trips. To reduce the carbon footprint of EVs, they should be charged as much as possible with renewable...

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Veröffentlicht in:	Procedia computer science Jg. 263; S. 874 - 883
Hauptverfasser:	Kammerhofer, Michael, Schwendinger, Benjamin, Hoch, Ralph, Sallinger, Christian, Kaindl, Hermann
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2025
Schlagworte:	Anytime algorithms CO2 reduction Electric vehicle charging Experiments Genetic algorithms Multi-objective optimization Anytime algorithms Electric vehicle charging Multi-objective optimization CO2 reduction Experiments Genetic algorithms
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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