Metamodel-Assisted Evolution Strategies

Emmerich, M; Giotis, A; Özdemir, M; Bäck, T; Giannakoglou, K

dc.contributor.author	Emmerich, M	en
dc.contributor.author	Giotis, A	en
dc.contributor.author	Özdemir, M	en
dc.contributor.author	Bäck, T	en
dc.contributor.author	Giannakoglou, K	en
dc.date.accessioned	2014-03-01T02:49:09Z
dc.date.available	2014-03-01T02:49:09Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34359
dc.subject	Evolution Strategy	en
dc.subject	Search Space	en
dc.subject	Viscous Flow	en
dc.title	Metamodel-Assisted Evolution Strategies	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/3-540-45712-7_35	en
heal.identifier.secondary	http://dx.doi.org/10.1007/3-540-45712-7_35	en
heal.publicationDate	2002	en
heal.abstract	This paper presents various Metamodel-Assisted Evolution Strategies which reduce the computational cost of optimisation problems involving time-consuming function evaluations. The metamodel is built using previously evaluated solutions in the search space and utilized to predict the fitness of new candidate solutions. In addition to previous works by the authors, the new metamodel takes also into account the error associated with	en
heal.journalName	Parallel Problem Solving from Nature	en
dc.identifier.doi	10.1007/3-540-45712-7_35	en