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An Efficient Method for Antenna Design Optimization Based on Evolutionary Computation and Machine Learning Techniques

contributor authorBo Liu
contributor authorAliakbarian, Hadi
contributor authorZhongkun Ma
contributor authorVandenbosch, Guy /A/. E.
contributor authorGielen, G.
contributor authorExcell, Peter
date accessioned2020-03-12T18:28:51Z
date available2020-03-12T18:28:51Z
date issued2014
identifier issn0018-926X
identifier other6612668.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/959928?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Efficient Method for Antenna Design Optimization Based on Evolutionary Computation and Machine Learning Techniques
typeJournal Paper
contenttypeMetadata Only
identifier padid7992552
subject keywordsGaussian processes
subject keywordsantennas
subject keywordsevolutionary computation
subject keywordsparticle swarm optimisation
subject keywordsEM simulations
subject keywordsGaussian process surrogate model
subject keywordsSADEA
subject keywordsantenna design optimization
subject keywordsantenna synthesis
subject keywordscomplex antennas
subject keywordselectromagnetic design problems
subject keywordsevolutionary algorithms
subject keywordsevolutionary computation field
subject keywordsmachine learning techniques
subject keywordsparticle swarm optimization
subject keywordssurrogate model assisted differential evolution
subject keywordssurrogate model aware evolutionary search mechanism
subject keywordsAntennas
subject keywordsComputational modeling
subject keywordsDatabase
identifier doi10.1109/TAP.2013.2283605
journal titleAntennas and Propagation, IEEE Transactions on
journal volume62
journal issue1
filesize1599097
citations1


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