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Information Sciences
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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Article . 2011
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https://dx.doi.org/10.1016/j.i...
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Self-adaptive learning based particle swarm optimization

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2011 English Publisher:Elsevier BVJournal:Information Sciences, volume 181, pages 4,515-4,538 (issn: 0020-0255, Copyright policy )
Authors: Yu Wang 0016; Bin Li 0025; Thomas Weise 0001; Jianyu Wang; Bo Yuan 0006; Qiongjie Tian;

doi: 10.1016/j.ins.2010.07.013

Self-adaptive learning based particle swarm optimization

Abstract

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Keywords

numerical optimization, power system, self-adaptive learning, Learning and adaptive systems in artificial intelligence, particle swarm, economic load dispatch, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), Approximation methods and heuristics in mathematical programming

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    selected citations
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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).
    		 293
    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!
293
Top 1%
Top 1%
Top 1%
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