Change search
ReferencesLink to record
Permanent link

Direct link
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, 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
URN: urn:nbn:se:kth:diva-83107DOI: 10.1080/03052150801914429ISI: 000257080500001OAI: diva2:498706
QC 20120214Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2012-02-14Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Miettinen, Kaisa
By organisation
Optimization and Systems Theory
In the same journal
Engineering optimization (Print)
Computer and Information ScienceMathematics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 150 hits
ReferencesLink to record
Permanent link

Direct link