A new cooperative approach to discrete particle swarm optimization

Xu, Yiheng; Hu, Jinglu; Hirasawa, Kotaro; Xiao-hong, Pang

doi:10.1109/sice.2007.4421186

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A Cooperative Coevolutionary Particle Swarm Optimization Alg...2

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Cited by 7 publications

(2 citation statements)

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“…Cooperative coevolutionary approaches have been invented to solve large scale optimization problems [11]. To obtain better triangulation results for complex Bayesian networks, we propose a cooperative coevolutionary algorithm based on MDPSO.…”

Section: A Cooperative Coevolutionary Particle Swarm Optimization Alg...mentioning

confidence: 99%

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A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks

Ouyang

Cai³

et al. 2011

AMR

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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.

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Section: A Cooperative Coevolutionary Particle Swarm Optimization Alg...mentioning

confidence: 99%

“…Pos g_best can be called a "context vector". For a detailed description about context vector, please refer to [11].…”

Section: A Cooperative Coevolutionary Particle Swarm Optimization Alg...mentioning

confidence: 99%

A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks

Ouyang

Cai³

et al. 2011

AMR

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Using ultrasonic pulse-echo B-scan signals for estimation of time of flight

2013

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Cooperative coevolutionary genetic algorithms to find optimal elimination orderings for Bayesian networks

Dong

Ouyang

et al. 2010

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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A new cooperative approach to discrete particle swarm optimization

Cited by 7 publications

References 5 publications

A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks

A Robust Cooperative Coevolutionary Particle Swarm Optimization Algorithm for Triangulation of Bayesian Networks

Using ultrasonic pulse-echo B-scan signals for estimation of time of flight

Cooperative coevolutionary genetic algorithms to find optimal elimination orderings for Bayesian networks

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