Optimization of the Complex-RFM Optimization Algorithm
2015 (English)In: Optimization and Engineering, ISSN 1389-4420, E-ISSN 1573-2924, Vol. 16, no 1, 27-48 p.Article in journal (Refereed) Published
This paper presents and compares different modifications made to the Complex-RF optimization algorithm with the aim of improving its performance for computationally expensive models. The modifications reduces the required number of objective function evaluations by creating and using surrogate models of the objective function iteratively during the optimization process. The chosen surrogate model type is a second order response surface. The performance of the modified algorithm is compared with a number of existing algorithms and demonstrated for a few analytical and engineering problems.
Place, publisher, year, edition, pages
Springer-Verlag New York, 2015. Vol. 16, no 1, 27-48 p.
Optimization, Surrogate models, Meta-optimization
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-84849DOI: 10.1007/s11081-014-9247-9ISI: 000351842300002OAI: oai:DiVA.org:liu-84849DiVA: diva2:562474
This article status has been changed from Manuscript to Article in Journal.2012-10-242012-10-242015-05-28Bibliographically approved