An introduction and survey of estimation of distribution algorithms

Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling explicit probabilistic models of promising candidate solutions. This explicit use of probabilistic models in optimization offers some significant...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 1; H. 3; S. 111 - 128
Hauptverfasser:	Hauschild, Mark, Pelikan, Martin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2011
Schlagworte:	Decomposable problems Estimation of distribution algorithms Evolutionary computation Model building Probabilistic models Stochastic optimization Estimation of distribution algorithms Decomposable problems Probabilistic models Model building Stochastic optimization Evolutionary computation
ISSN:	2210-6502
Online-Zugang:	Volltext
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