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A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
Centre for Computational Intelligence, De Montfort University, Leicester, United Kingdom.
2008 (English)In: 2008 IEEE Congress on Evolutionary Computation, CEC 2008, IEEE conference proceedings, 2008, 3177-3184 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE conference proceedings, 2008. 3177-3184 p.
Series
IEEE Congress on Evolutionary Computation
Keyword [en]
Algorithm design and analysis, Benchmark testing, Concurrent computing, Evolutionary computation, Filters, Manufacturing, Optimization methods, Parallel processing, Steady-state, Uncertainty
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:his:diva-7128DOI: 10.1109/CEC.2008.4631228ISI: 000263406502002Scopus ID: 2-s2.0-55749108832ISBN: 978-1-4244-1823-7 ISBN: 978-1-4244-1822-0 OAI: oai:DiVA.org:his-7128DiVA: diva2:603624
Conference
2008 IEEE Congress on Evolutionary Computation, CEC 2008; Hong Kong; 1 June 2008 through 6 June 2008; Category number 08TH8988; Code 73863
Available from: 2013-02-06 Created: 2013-02-06 Last updated: 2017-11-27Bibliographically approved

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Publisher's full textScopushttp://www.his.se/PageFiles/158271/A%20Parallel%20Surrogate-Assisted%20Multi-Objective%20Evolutionary%20Algorithm%20for%20Computationally%20Expensive%20Optimization%20Problems%20(submitted%20version).pdf

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Syberfeldt, AnnaGrimm, HenrikNg, Amos
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CiteExportLink to record
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