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Performance index and meta-optimization of a direct search optimization method
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
2013 (English)In: Engineering optimization (Print), ISSN 0305-215X, Vol. 45, no 10, 1167-1185 p.Article in journal (Refereed) Published
Abstract [en]

Design optimization is becoming an increasingly important tool for design, often using simulation as part of the evaluation of the objective function. A measure of the efficiency of an optimization algorithm is of great importance when comparing methods. The main contribution of this article is the introduction of a singular performance criterion, the entropy rate index based on Shannon's information theory, taking both reliability and rate of convergence into account. It can also be used to characterize the difficulty of different optimization problems. Such a performance criterion can also be used for optimization of the optimization algorithms itself. In this article the Complex-RF optimization method is described and its performance evaluated and optimized using the established performance criterion. Finally, in order to be able to predict the resources needed for optimization an objective function temperament factor is defined that indicates the degree of difficulty of the objective function.

Place, publisher, year, edition, pages
Taylor & Francis , 2013. Vol. 45, no 10, 1167-1185 p.
Keyword [en]
design optimization; performance index; information entropy; direct search optimization; Complex method
National Category
Other Mechanical Engineering
URN: urn:nbn:se:liu:diva-85684DOI: 10.1080/0305215X.2012.725052ISI: 000324360100002OAI: diva2:572570
Available from: 2012-11-28 Created: 2012-11-28 Last updated: 2013-12-03

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Krus, PetterÖlvander, Johan
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