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Cost Effective Simulation-Based Multiobjective Optimization in Performance of Internal Combustion Engine
Department of Mathematical Information Technology, University of Jyväskylä, Finland.
KTH, Skolan för teknikvetenskap (SCI), Matematik (Inst.), Optimeringslära och systemteori.
2008 (engelsk)Inngår i: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, Vol. 40, nr 7, 593-612 s.Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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

sted, utgiver, år, opplag, sider
2008. Vol. 40, nr 7, 593-612 s.
Emneord [en]
multicriterion optimization, global optimization, interactive methods, classification, NIMBUS
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-83107DOI: 10.1080/03052150801914429ISI: 000257080500001OAI: oai:DiVA.org:kth-83107DiVA: diva2:498706
Merknad
QC 20120214Tilgjengelig fra: 2012-02-12 Laget: 2012-02-12 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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