Estimation of particle swarm distribution algorithms: Combining the benefits of PSO and EDAs-Reference-Cited by-同舟云学术

Estimation of particle swarm distribution algorithms: Combining the benefits of PSO and EDAs

Published:2012-06 Issue: Volume:192 Page:109-119
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ahn Chang Wook,An Jinung,Yoo Jae-Chern

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference36 articles.

1. Advances in Evolutionary Algorithms: Theory, Design and Practice;Ahn,2006

2. On the scalability of real-coded Bayesian optimization algorithm;Ahn;IEEE Transactions on Evolutionary Computation,2008

3. S. Baluja, Population-Base Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning, Technical Report CMU-CS-94-163, Carnegie Mellon University, 1994.

4. A study of particle swarm optimization particle trajectories;van den Bergh;Information Sciences,2006

5. BAIS: a Bayesian artificial immune system for the effective handling of building blocks;de Castro;Information Sciences,2009

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