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Conference Paper: Parameter control by the entire search history: Case study of history-driven evolutionary algorithm
Title | Parameter control by the entire search history: Case study of history-driven evolutionary algorithm |
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Authors | |
Issue Date | 2010 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4235 |
Citation | The 6th IEEE World Congress on Computational Intelligence cum IEEE Congress on Evolutionary Computation (WCCI-CEC 2010), Barcelona, Spain, 18-23 July 2010. In IEEE Transactions on Evolutionary Computation, 2010, p. 1-8 How to Cite? |
Abstract | History-driven Evolutionary Algorithm (HdEA) is an EA that uses the entire search history to improve searching performance. By building the approximated fitness landscape and estimating the gradient using the entire history, HdEA performs a parameter-less adaptive mutation. In order to decrease the number of parameters that makes the HdEA more robust, this paper proposes a novel adaptive parameter control system. This system is as an add-on component to HdEA, which uses the whole search history in HdEA to control the parameters in an automatic manner. The performance of the proposed system is examined on 34 benchmark functions. The results shows that the parameter control system gives similar or better performance in 24 functions and has the benefit that two parameters of the HdEA are eliminated; they are set and varied automatically by the system. © 2010 IEEE. |
Description | Special Session on Evolutionary Computer Vision |
Persistent Identifier | http://hdl.handle.net/10722/196719 |
ISBN | |
ISSN | 2023 Impact Factor: 11.7 2023 SCImago Journal Rankings: 5.209 |
DC Field | Value | Language |
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dc.contributor.author | Leung, SW | - |
dc.contributor.author | Yuen, SY | - |
dc.contributor.author | Chow, CK | - |
dc.date.accessioned | 2014-04-24T02:10:36Z | - |
dc.date.available | 2014-04-24T02:10:36Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | The 6th IEEE World Congress on Computational Intelligence cum IEEE Congress on Evolutionary Computation (WCCI-CEC 2010), Barcelona, Spain, 18-23 July 2010. In IEEE Transactions on Evolutionary Computation, 2010, p. 1-8 | - |
dc.identifier.isbn | 978-1-4244-6909-3 | - |
dc.identifier.issn | 1089-778X | - |
dc.identifier.uri | http://hdl.handle.net/10722/196719 | - |
dc.description | Special Session on Evolutionary Computer Vision | - |
dc.description.abstract | History-driven Evolutionary Algorithm (HdEA) is an EA that uses the entire search history to improve searching performance. By building the approximated fitness landscape and estimating the gradient using the entire history, HdEA performs a parameter-less adaptive mutation. In order to decrease the number of parameters that makes the HdEA more robust, this paper proposes a novel adaptive parameter control system. This system is as an add-on component to HdEA, which uses the whole search history in HdEA to control the parameters in an automatic manner. The performance of the proposed system is examined on 34 benchmark functions. The results shows that the parameter control system gives similar or better performance in 24 functions and has the benefit that two parameters of the HdEA are eliminated; they are set and varied automatically by the system. © 2010 IEEE. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4235 | - |
dc.relation.ispartof | IEEE Transactions on Evolutionary Computation | - |
dc.rights | ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.title | Parameter control by the entire search history: Case study of history-driven evolutionary algorithm | - |
dc.type | Conference_Paper | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/CEC.2010.5585945 | - |
dc.identifier.scopus | eid_2-s2.0-79959444283 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 8 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 160603 amended | - |
dc.identifier.issnl | 1089-778X | - |