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How to successfully apply genetic algorithms in practice: Representation and parametrization

  • Evolutionary computation and genetic algorithms (GAs) in particular have been applied very successfully to many real world application problems. However, the success or failure of applying Genetic Algorithms is highly dependent on how a problem is represented. Additionally, the number of free parameters makes applying these methods a science of its own, presenting a huge barrier to entry for beginners. This tutorial will give a summary on various representational aspects, discuss parametrization and their influence on the dynamics of GAs.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). Madrid, Spain, 2-4 Sept. 2015
ISBN:978-1-4673-7751-5
DOI:https://doi.org/10.1109/INISTA.2015.7276778
Publisher:IEEE
Date of first publication:2015/09/28
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/09/29