Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization

10.1007/978-3-642-30687-7_7

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Bibliographic Details
Main Authors:	Shim, V.A., Tan, K.C.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Conference or Workshop Item
Published:	2014
Subjects:	Evolutionary algorithm multi-objective optimization probabilistic graphical model restricted Boltzmann machine
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/71504
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-71504
record_format	dspace
spelling	sg-nus-scholar.10635-715042015-01-28T14:56:27Z Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization Shim, V.A. Tan, K.C. ELECTRICAL & COMPUTER ENGINEERING Evolutionary algorithm multi-objective optimization probabilistic graphical model restricted Boltzmann machine 10.1007/978-3-642-30687-7_7 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7311 LNCS 122-144 2014-06-19T03:24:29Z 2014-06-19T03:24:29Z 2012 Conference Paper Shim, V.A.,Tan, K.C. (2012). Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7311 LNCS : 122-144. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-30687-7_7" target="_blank">https://doi.org/10.1007/978-3-642-30687-7_7</a> 9783642306860 03029743 http://scholarbank.nus.edu.sg/handle/10635/71504 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	Evolutionary algorithm multi-objective optimization probabilistic graphical model restricted Boltzmann machine
spellingShingle	Evolutionary algorithm multi-objective optimization probabilistic graphical model restricted Boltzmann machine Shim, V.A. Tan, K.C. Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
description	10.1007/978-3-642-30687-7_7
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING Shim, V.A. Tan, K.C.
format	Conference or Workshop Item
author	Shim, V.A. Tan, K.C.
author_sort	Shim, V.A.
title	Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
title_short	Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
title_full	Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
title_fullStr	Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
title_full_unstemmed	Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
title_sort	probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/71504
_version_	1681087395510878208

Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization

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