TEA - A C++ Library for the Design of Evolutionary Algorithms

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DC Field	Value	Language
dc.contributor.author	Emmerich, Michael	de
dc.contributor.author	Hosenberg, Rafael	de
dc.date.accessioned	2004-12-07T08:20:44Z	-
dc.date.available	2004-12-07T08:20:44Z	-
dc.date.created	2001	de
dc.date.issued	2001-10-29	de
dc.identifier.uri	http://hdl.handle.net/2003/5405	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15301	-
dc.description.abstract	A library for the design of standard and non-standard EAs in C++ is described. The simple object-oriented design of the TEA library allows the fast configuration of new non-standard evolutionary algorithms. In TEA representation independent algorithms can be combined with non-standard genotypes. Complex genotypes can be build from existing simple genotypes. Furthermore, non-panmictic parallel population structures like neighbourhood and multipopulation EAs are supported. This paper introduces the main concepts of the TEA library. Examples illustrate how to build standard algorithms and how to design new kinds of algorithms and representations with TEA.	en
dc.format.extent	192069 bytes	-
dc.format.extent	394168 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universität Dortmund	de
dc.relation.ispartofseries	Reihe Computational Intelligence ; 106	de
dc.subject.ddc	004	de
dc.title	TEA - A C++ Library for the Design of Evolutionary Algorithms	en
dc.type	Text	de
dc.type.publicationtype	report	-
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 531

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