DocumentCode
534916
Title
Cooperative discrete differential evolution algorithms for triangulation of bayesian networks
Author
Dong, Xuchu ; Zhang, Yonggang ; Ouyang, Dantong ; Yu, Haihong ; Ye, Yuxin
Author_Institution
Dept. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
1
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
281
Lastpage
284
Abstract
In this paper, for solving the problem of triangulating Bayesian networks, we propose a discrete differential evolution framework incorporating cooperative coevolution mechanism, and provide three schemes to group variables. The cooperative discrete differential evolution algorithms using these grouping schemes show much better performance than existing swarm intelligence methods in experiments on representative benchmarks.
Keywords
belief networks; cooperative systems; problem solving; Bayesian networks; cooperative discrete differential evolution algorithms; problem solving; triangulation; Bayesian methods; Computer science; Ethics; Inference algorithms; Junctions; Particle swarm optimization; Silicon; Bayesian network; cooperative coevolution; differential evolution; grouping scheme;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643840
Filename
5643840
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