| An organizational evolutionary algorithm for numerical optimization. | |
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MedLine Citation:
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PMID: 17702302 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Taking inspiration from the interacting process among organizations in human societies, this correspondence designs a kind of structured population and corresponding evolutionary operators to form a novel algorithm, Organizational Evolutionary Algorithm (OEA), for solving both unconstrained and constrained optimization problems. In OEA, a population consists of organizations, and an organization consists of individuals. All evolutionary operators are designed to simulate the interaction among organizations. In experiments, 15 unconstrained functions, 13 constrained functions, and 4 engineering design problems are used to validate the performance of OEA, and thorough comparisons are made between the OEA and the existing approaches. The results show that the OEA obtains good performances in both the solution quality and the computational cost. Moreover, for the constrained problems, the good performances are obtained by only incorporating two simple constraints handling techniques into the OEA. Furthermore, systematic analyses have been made on all parameters of the OEA. The results show that the OEA is quite robust and easy to use. |
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Authors:
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Jing Liu; Weicai Zhong; Licheng Jiao |
Publication Detail:
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Type: Letter; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society Volume: 37 ISSN: 1083-4419 ISO Abbreviation: IEEE Trans Syst Man Cybern B Cybern Publication Date: 2007 Aug |
Date Detail:
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Created Date: 2007-08-17 Completed Date: 2007-09-11 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9890044 Medline TA: IEEE Trans Syst Man Cybern B Cybern Country: United States |
Other Details:
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Languages: eng Pagination: 1052-64 Citation Subset: IM |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Computer Simulation Decision Support Techniques* Models, Theoretical* Numerical Analysis, Computer-Assisted* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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