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date accessioned2020-03-12T23:35:33Z
date available2020-03-12T23:35:33Z
date issued2014
identifier other6900581.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1117194?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA constrained multi-objective surrogate-based optimization algorithm
typeConference Paper
contenttypeMetadata Only
identifier padid8286919
subject keywordsdata analysis
subject keywordssmart phones
subject keywordssocial networking (online)
subject keywordsFacebook
subject keywordsSNS data
subject keywordsindividual user characteristics
subject keywordspattern analysis
subject keywordssmart phone
subject keywordssocial network service
subject keywordsCarbon
subject keywordsData mining
subject keywordsFacebook
subject keywordsGoogle
subject keywordsMarket research
subject keywordsPattern analysis
subject keywordsGoogle Trends
subject keywordsIndividual Interest
subject keywordsSicial Network Service
identifier doi10.1109/IMIS.2014.94
journal titlevolutionary Computation (CEC), 2014 IEEE Congress on
filesize378394
citations0
contributor rawauthorSingh, P. , Couckuyt, I. , Ferranti, F. , Dhaene, T.


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