Cost Effective Simulation-Based Multiobjective Optimization in Performance of Internal Combustion Engine
2008 (English)In: Engineering optimization (Print), ISSN 0305-215X, Vol. 40, no 7, 593-612 p.Article in journal (Refereed) Published
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.
multicriterion optimization, global optimization, interactive methods, classification, NIMBUS
Computer and Information Science Mathematics
IdentifiersURN: urn:nbn:se:kth:diva-83107DOI: 10.1080/03052150801914429ISI: 000257080500001OAI: oai:DiVA.org:kth-83107DiVA: diva2:498706
QC 201202142012-02-122012-02-122012-02-14Bibliographically approved