Contraction-expansion coefficient learning in quantum-behaved particle swarm optimization
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Tian, Na, Lai, Choi-Hong 
ORCID: https://orcid.org/0000-0002-7558-6398, Pericleous, Koulis ORCID: https://orcid.org/0000-0002-7426-9999, Sun, Jun and Xu, Wenbo
(2011)
Contraction-expansion coefficient learning in quantum-behaved particle swarm optimization.
In: Proceedings: 2011 Tenth International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES 2011).
Conference Publishing Services, Los Alamitos, CA, USA, pp. 303-308.
ISBN 9780769544151
(doi:10.1109/DCABES.2011.32)
Abstract
Quantum-behaved particle swarm optimization was proposed from the view of quantum world and based on the particle swarm optimization, which has been proved to outperform the traditional PSO. The Expansion-Contraction coefficient is the only parameter in QPSO, which has great influence on the global search ability and convergence of the particles. In this paper, two parameter control methods are proposed. Numerical experiments on the benchmark functions are presented.
| Item Type: | Conference Proceedings |
|---|---|
| Title of Proceedings: | Proceedings: 2011 Tenth International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES 2011) |
| Additional Information: | [1] This paper was first presented at the 2011 Tenth International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES 2011), held from 14-17 October 2011 in Wuxi, Jiangsu, China. |
| Uncontrolled Keywords: | quantum-behaved particle swarm optimization, contraction-expansion coefficient, cosine function, annealing function |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
| Related URLs: | |
| Last Modified: | 02 Mar 2019 15:52 |
| URI: | http://gala.gre.ac.uk/id/eprint/7599 |
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