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
Link To Document :
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