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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 5
  3. International Journal of Machine Learning and Cybernetics : Volume 5, Issue 2, April 2014
  4. Parallel quantum-behaved particle swarm optimization
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 6, December 2014
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 5, October 2014
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 4, August 2014
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 3, June 2014
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 2, April 2014
Discovering the discovery of the No-Search Approach
Bayesian Citation-KNN with distance weighting
Sparse group LASSO based uncertain feature selection
Random fuzzy bilevel linear programming through possibility-based value at risk model
Reconstruction of surgical instruments in virtual surgery system
Topological approach to multigranulation rough sets
Gene ontology based quantitative index to select functionally diverse genes
Variable precision intuitionistic fuzzy rough sets model and its application
Improved particle swarm optimization based approach for bilevel programming problem-an application on supply chain model
Adaptive probability scheme for behaviour monitoring of the elderly using a specialised ambient device
Parallel quantum-behaved particle swarm optimization
A rule-extraction framework under multigranulation rough sets
International Journal of Machine Learning and Cybernetics : Volume 5, Issue 1, February 2014
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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Parallel quantum-behaved particle swarm optimization

Content Provider SpringerLink
Author Tian, Na Lai, Choi Hong
Copyright Year 2013
Abstract Quantum-behaved particle swarm optimization (QPSO), like other population-based algorithms, is intrinsically parallel. The master–slave (synchronous and asynchronous) and static subpopulation parallel QPSO models are investigated and applied to solve the inverse heat conduction problem of identifying the unknown boundary shape. The performance of all these parallel models is compared. The synchronous parallel QPSO can obtain better solutions, while the asynchronous parallel QPSO converges fast without idle waiting. The scalability of the static subpopulation parallel QPSO is not as good as the master–slave parallel model.
Starting Page 309
Ending Page 318
Page Count 10
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 5
Issue Number 2
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2013-04-16
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Quantum-behaved particle swarm optimization Master–slave Static subpopulation Shape identification Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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