Paper Title:
A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks
  Abstract

In this paper, a cooperative coevoluationary particle swarm optimization algorithm, CCMDPSO, is proposed to solve the optimization problem of triangulation of Bayesian networks. It arranges all the variables of a given Bayesian network into some groups according to the global best solution and performs optimization on these small-scale groups. The basic optimizer of CCMDPSO is an improved discrete particle swarm optimization algorithm, MDPSO. Experiments show that CCMDPSO is an effective and robust method for the triangulation problem.

  Info
Periodical
Advanced Materials Research (Volumes 181-182)
Edited by
Qi Luo and Yuanzhi Wang
Pages
468-473
DOI
10.4028/www.scientific.net/AMR.181-182.468
Citation
X. C. Dong, D. T. Ouyang, D. B. Cai, Y. X. Ye, S. S. Feng, "A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks", Advanced Materials Research, Vols. 181-182, pp. 468-473, 2011
Online since
January 2011
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