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Efficient Evolutionary Method to Approximate the Pareto Optimal Set in Multiobjective Optimization
Department of Mathematical Information Technology, University of Jyväskylä, Finland.
Department of Mathematical Information Technology, University of Jyväskylä, Finland.
2008 (English)In: Proceedings of the International Conference on Engineering Optimization EngOpt 2008, 2008Conference paper, Published paper (Other academic)
Abstract [en]

Solving real-life engineering problems requires often multiobjective, global and efficient (in terms of ob-jective function evaluations) treatment. In this study, we consider problems of this type by discussingsome drawbacks of the current methods and then introduce a new population based multiobjective op-timization algorithm which produces a dense (not limited to the population size) approximation of thePareto optimal set in a computationally effective manner.

Place, publisher, year, edition, pages
2008.
Keyword [en]
efficient Pareto front approximation, multicriteria optimization, population-based approaches
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-83162OAI: oai:DiVA.org:kth-83162DiVA: diva2:498759
Conference
International Conference on Engineering Optimization EngOpt 2008. Rio de Janeiro, Brazil. 1 - 5 June 2008
Note
QC 20120510Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2012-05-10Bibliographically approved

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CiteExportLink to record
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  • apa
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