| A hybrid artificial bee colony optimization and quantum evolutionary algorithm for continuous optimization problems. | |
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MedLine Citation:
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PMID: 20180252 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this paper, a novel hybrid Artificial Bee Colony (ABC) and Quantum Evolutionary Algorithm (QEA) is proposed for solving continuous optimization problems. ABC is adopted to increase the local search capacity as well as the randomness of the populations. In this way, the improved QEA can jump out of the premature convergence and find the optimal value. To show the performance of our proposed hybrid QEA with ABC, a number of experiments are carried out on a set of well-known Benchmark continuous optimization problems and the related results are compared with two other QEAs: the QEA with classical crossover operation, and the QEA with 2-crossover strategy. The experimental comparison results demonstrate that the proposed hybrid ABC and QEA approach is feasible and effective in solving complex continuous optimization problems. |
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Authors:
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Hai-Bin Duan; Chun-Fang Xu; Zhi-Hui Xing |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: International journal of neural systems Volume: 20 ISSN: 0129-0657 ISO Abbreviation: Int J Neural Syst Publication Date: 2010 Feb |
Date Detail:
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Created Date: 2010-02-24 Completed Date: 2010-06-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9100527 Medline TA: Int J Neural Syst Country: Singapore |
Other Details:
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Languages: eng Pagination: 39-50 Citation Subset: IM |
Affiliation:
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National Key Laboratory of Science and Technology on Holistic Control, School of Automation Science and Electrical Engineering, Beihang University, No. 37, Xueyuan Road, Haidian District, Beijing, 100191, PR China. hbduan@buaa.edu.cn |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Animals Artificial Intelligence* Bees / physiology* Behavior, Animal / physiology Chimera Computer Simulation Decision Support Techniques* Evolution Models, Biological Nonlinear Dynamics |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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