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Experimental study on population-based incremental learning algorithms for dynamic optimization problems

descriptionPublicationkeyboard_double_arrow_right Article 22 Apr 2005 English Publisher:Springer Science and Business Media LLCJournal:Soft Computing, volume 9, pages 815-834 (issn: 1432-7643, eissn: 1433-7479, Copyright policy )
Authors: Yang, Shengxiang; Yao, X.;

doi: 10.1007/s00500-004-0422-3

handle: 2381/1851

Experimental study on population-based incremental learning algorithms for dynamic optimization problems

Abstract

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Keywords

Population-based incremental learning, Dual population-based incremental learning, Genetic algorithm, Exclusive-or operator, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), Dynamic programming, Approximation methods and heuristics in mathematical programming, Central probability vector, 004, Dynamic optimization problem

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 221
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
221
Top 1%
Top 1%
Top 1%
Green
bronze