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Multi-stage evolution of single- and multi-objective MCLP

  • Maximal covering location problems have efficiently been solved using evolutionary computation. The multi-stage placement of charging stations for electric cars is an instance of this problem which is addressed in this study. It is particularly challenging, because a final solution is constructed in multiple steps, stations cannot be relocated easily and intermediate solutions should be optimal with respect to certain objectives.

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Metadaten
Document Type:Article
Language:English
Author:Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, Alexander Asteroth
Subtitle (English):Successive placement of charging stations
Parent Title (English):Soft Comput (Soft Computing)
Volume:21
Issue:17
First Page:4859
Last Page:4872
ISSN:1432-7643
DOI:https://doi.org/10.1007/s00500-016-2374-9
Publisher:Springer
Date of first publication:2016/10/03
Tag:Electric mobility; Genetic algorithm; Maximal covering location problem; Multi-objective; Multi-stage; Optimization; Single-objective
Departments, institutes and facilities:Fachbereich Informatik
Fachbereich Elektrotechnik, Maschinenbau, Technikjournalismus
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Internationales Zentrum für Nachhaltige Entwicklung (IZNE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Entry in this database:2016/10/06