Efficient Evolutionary Approach to Approximate the Pareto Optimal Set in Multiobjective Optimization, UPS-EMOA
2010 (English)In: Optimization Methods and Software, ISSN 1055-6788, Vol. 25, no 6, 841-858 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
Taylor & Francis, 2010. Vol. 25, no 6, 841-858 p.
efficient Pareto-optimal set approximation; multicriteria optimization; population-based approaches; Pareto-optimality; non-dominance; EMO
IdentifiersURN: urn:nbn:se:kth:diva-73976ISI: 000280772200002OAI: oai:DiVA.org:kth-73976DiVA: diva2:489130
QC 201202102012-02-102012-02-022012-02-10Bibliographically approved