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Boosted Surrogate Models in Evolutionary Optimization

SYSNO ASEP	0330006
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Boosted Surrogate Models in Evolutionary Optimization
Title	Náhradní modely s boostingem v evoluční optimalizaci
Author(s)	Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	Information Technologies - Applications and Theory. - Seňa : Pont, 2009 / Vojtáš P. - ISBN 978-80-970179-2-7
Pages	s. 15-22
Number of pages	8 s.
Action	ITAT 2009. Conference on Theory and Practice of Information Theory
Event date	25.09.2009-29.09.2009
VEvent location	Kráľova studňa
Country	SK - Slovakia
Event type	EUR
Language	eng - English
Country	SK - Slovakia
Keywords	evolutionary optimization ; genetic algorithms ; surrogate modelling ; regression models ; boosting
Subject RIV	IN - Informatics, Computer Science
R&D Projects	GA201/08/1744 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
EID SCOPUS	84874066870
Annotation	The paper deals with surrogate modelling, a modern approach to the optimization of empirical objective functions. The approach leads to a substantial decrease of time and costs of evaluation of the objective function, a property that is particularly attractive in evolutionary optimization. In the paper, an extension of surrogate modelling with regression boosting is proposed.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2010

Number of the records: 1