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arXiv.org e-Print Archive
Preprint . 2005
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https://doi.org/10.1109/cec.20...
Article . 2003 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2005
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Dissipative particle swarm optimization

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 25 Jun 2003Embargo end date: 01 Jan 2005Publisher:IEEEJournal:Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), volume 2, pages 1,456-1,461
Authors: Xiao-Feng Xie 0001; Wen-Jun Zhang 0009; Zhilian Yang;

doi: 10.1109/cec.2002.1004457 , 10.48550/arxiv.cs/0505065

arXiv: cs/0505065

Dissipative particle swarm optimization

Abstract

A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively

Proceedings of the 2002 Congress on Evolutionary Computation, 2002. Volume: 2, On page(s): 1456-1461

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

  • BIP!
    Impact byBIP!
    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).
    		 83
    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 10%
    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.
    		 Top 10%
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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!
83
Top 10%
Top 1%
Top 10%
Green