An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods

In an estimation of distribution algorithm (EDA), global population distribution is modeled by a probabilistic model, from which new trial solutions are sampled, whereas individual location information is not directly and fully exploited. In this paper, we suggest to combine an EDA with cheap and ex...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 19; no. 6; pp. 807 - 822
Main Authors:	Zhou, Aimin, Sun, Jianyong, Zhang, Qingfu
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computational modeling Convergence distribution information estimation of distribution algorithm global optimisation Histograms location information Optimization Search methods Sociology univariate marginal distribution algorithm Distribution information estimation of distribution algorithm (EDA) location information global optimization univariate marginal distribution algorithm (UMDA)
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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