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InTech
Part of book or chapter of book . 2021
Data sources: InTech
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https://www.intechopen.com/cit...
Part of book or chapter of book
License: CC BY NC SA
Data sources: UnpayWall
https://doi.org/10.5772/5094...
Part of book or chapter of book . 2007 . Peer-reviewed
Data sources: Crossref
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Chaotic Rough Particle Swarm Optimization Algorithms

Authors: Alatas, Bilal; Akin, Erhan;

Chaotic Rough Particle Swarm Optimization Algorithms

Abstract

In this chapter chaotic rough PSO, CRPSO, algorithms that use rough decision variables and rough particles that are based on notion of rough patterns have been proposed. Different chaotic maps have been embedded to adapt the parameters of PSO algorithm. This has been done by using of chaotic number generators each time a random number is needed by the classical PSO algorithm. Twelve PSO methods have been proposed and four chaotic maps have been analyzed in the data mining application. It has been detected that coupling

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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!
1
Average
Average
Average
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