| An improved particle swarm optimization algorithm for reliability problems. | |
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MedLine Citation:
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PMID: 20850737 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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An improved particle swarm optimization (IPSO) algorithm is proposed to solve reliability problems in this paper. The IPSO designs two position updating strategies: In the early iterations, each particle flies and searches according to its own best experience with a large probability; in the late iterations, each particle flies and searches according to the fling experience of the most successful particle with a large probability. In addition, the IPSO introduces a mutation operator after position updating, which can not only prevent the IPSO from trapping into the local optimum, but also enhances its space developing ability. Experimental results show that the proposed algorithm has stronger convergence and stability than the other four particle swarm optimization algorithms on solving reliability problems, and that the solutions obtained by the IPSO are better than the previously reported best-known solutions in the recent literature. |
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Authors:
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Peifeng Wu; Liqun Gao; Dexuan Zou; Steven Li |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-09-20 |
Journal Detail:
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Title: ISA transactions Volume: 50 ISSN: 1879-2022 ISO Abbreviation: ISA Trans Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2010-12-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374750 Medline TA: ISA Trans Country: United States |
Other Details:
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Languages: eng Pagination: 71-81 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 ISA. Published by Elsevier Ltd. All rights reserved. |
Affiliation:
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School of Information Science and Engineering, Northeastern University, Shenyang, People's Republic of China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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