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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, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
2008 (English)In: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, Vol. 40, no 7, 593-612 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2008. Vol. 40, no 7, 593-612 p.
Keyword [en]
multicriterion optimization, global optimization, interactive methods, classification, NIMBUS
National Category
Computer and Information Science Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-83107DOI: 10.1080/03052150801914429ISI: 000257080500001OAI: oai:DiVA.org:kth-83107DiVA: diva2:498706
Note
QC 20120214Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2017-12-07Bibliographically approved

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