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Harmony search augmented with optimal computing budget allocation capabilities for noisy optimization
aKnowledge and Intelligent Computing (KIC) Laboratory, Department of Informatics Engineering, Technological Educational Institute of Epirus.ORCID iD: 0000-0001-9701-4203
aKnowledge and Intelligent Computing (KIC) Laboratory, Department of Informatics Engineering, Technological Educational Institute of Epirus.
bDepartment of Electrical and Electronic Engineering, Polytechnic of Bari.
cDepartment of Engineering and Architecture, University of Trieste.
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2013 (English)In: IAENG International Journal of Computer Science, ISSN 1819-656X, E-ISSN 1819-9224, Vol. 40, no 4, p. 285-290Article in journal (Refereed) Published
Abstract [en]

In this work we introduce the combinatory use of Harmony Search (HS) with Optimal Computing Budget Allocation (OCBA) as a means to tackle noisy optimization situations as those that occur during the execution of Discrete Event Systems (DES) for modeling complex systems. The OCBA procedure is employed for the exclusion of the worst harmony during the memory updating process in order to minimize the computational cost and at the same time retain a pool of promising solutions. The proposed hybrid approach is tested on real valued test functions as a proof of concept and the results are promising in case of small computational budgets.

Place, publisher, year, edition, pages
2013. Vol. 40, no 4, p. 285-290
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-69831Scopus ID: 2-s2.0-84890245519OAI: oai:DiVA.org:ltu-69831DiVA, id: diva2:1223100
Available from: 2018-06-25 Created: 2018-06-25 Last updated: 2018-06-25Bibliographically approved

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Georgoulas, George G.

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