Extending a class of continuous estimation of distribution algorithms to dynamic problems

Yuan, B., Orlowska, M. and Sadiq, S. (2008) Extending a class of continuous estimation of distribution algorithms to dynamic problems. Optimization Letters, 2 3: 433-443. doi:10.1007/s11590-007-0071-4


Author Yuan, B.
Orlowska, M.
Sadiq, S.
Title Extending a class of continuous estimation of distribution algorithms to dynamic problems
Journal name Optimization Letters   Check publisher's open access policy
ISSN 1862-4472
Publication date 2008-01-01
Sub-type Article (original research)
DOI 10.1007/s11590-007-0071-4
Open Access Status Not yet assessed
Volume 2
Issue 3
Start page 433
End page 443
Total pages 11
Editor Pardalos, P.M.
Place of publication Berlin
Publisher Springer
Language eng
Subject C1
080201 Analysis of Algorithms and Complexity
890299 Computer Software and Services not elsewhere classified
Abstract In this paper, a class of continuous Estimation of Distribution Algorithms (EDAs) based on Gaussian models is analyzed to investigate their potential for solving dynamic optimization problems where the global optima may change dramatically during time. Experimental results on a number of dynamic problems show that the proposed strategy for dynamic optimization can significantly improve the performance of the original EDAs and the optimal solutions can be consistently located.
Keyword Dynamic optimization
Estimation of distribution algorithms
Evolutionary algorithms
Global optimization
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 14 times in Scopus Article | Citations
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Created: Mon, 13 Apr 2009, 04:15:26 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering