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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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 1; no. 3; pp. 111 - 128
Main Authors:	Hauschild, Mark, Pelikan, Martin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2011
Subjects:	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 Access:	Get full text
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