date accessioned | 2020-03-12T23:35:33Z | |
date available | 2020-03-12T23:35:33Z | |
date issued | 2014 | |
identifier other | 6900581.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1117194?locale-attribute=fa&show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | A constrained multi-objective surrogate-based optimization algorithm | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8286919 | |
subject keywords | data analysis | |
subject keywords | smart phones | |
subject keywords | social networking (online) | |
subject keywords | Facebook | |
subject keywords | SNS data | |
subject keywords | individual user characteristics | |
subject keywords | pattern analysis | |
subject keywords | smart phone | |
subject keywords | social network service | |
subject keywords | Carbon | |
subject keywords | Data mining | |
subject keywords | Facebook | |
subject keywords | Google | |
subject keywords | Market research | |
subject keywords | Pattern analysis | |
subject keywords | Google Trends | |
subject keywords | Individual Interest | |
subject keywords | Sicial Network Service | |
identifier doi | 10.1109/IMIS.2014.94 | |
journal title | volutionary Computation (CEC), 2014 IEEE Congress on | |
filesize | 378394 | |
citations | 0 | |
contributor rawauthor | Singh, P. , Couckuyt, I. , Ferranti, F. , Dhaene, T. | |