A hybrid approach to learn Bayesian networks using evolutionary programming

Man Leung WONG, Shing Yan LEE, Kwong Sak LEUNG

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7 Citations (Scopus)

Abstract

A novel hybrid framework is reported that improves upon our previous work, MDLEP, which uses evolutionary programming to solve the difficult Bayesian network learning problem. A new merge operator is also introduced that further enhances the efficiency. As experimental results suggest, our hybrid approach performs significantly better than MDLEP.
Original languageEnglish
Title of host publicationProceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
PublisherIEEE Computer Society
Pages1314-1319
Number of pages6
Volume2
ISBN (Print)9780780372825
DOIs
Publication statusPublished - 1 Jan 2002

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Bibliographical note

Paper presented at the IEEE World Congress on Computational Intelligence (WCCI2002), May 12-17, 2002, Honolulu, Hawaii. ISBN of the source publication: 9780780372825

Cite this

WONG, M. L., LEE, S. Y., & LEUNG, K. S. (2002). A hybrid approach to learn Bayesian networks using evolutionary programming. In Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 (Vol. 2, pp. 1314-1319). IEEE Computer Society. https://doi.org/10.1109/CEC.2002.1004433