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https://doi.org/10.5540/03.201...
Article . 2015 . Peer-reviewed
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https://dx.doi.org/10.5540/03....
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Multi-Particle Collision Algorithm with Reflected Points

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 25 Aug 2015Publisher:SBMACJournal:Proceeding Series of the Brazilian Society of Computational and Applied Mathematics (eissn: 2359-0793, Copyright policy )
Authors: Reynier Hernández Torres; Eduardo Fávero Pacheco da Luz; Haroldo Fraga de Campos Velho;

doi: 10.5540/03.2015.003.01.0433

Multi-Particle Collision Algorithm with Reflected Points

Abstract

New versions for the MPCA (Multi-Particle Collision Algorithm) meta-heuristic are presented. In order to provide more effective candidate solutions for an optimization problem, the concept of opposition and reflection is introduced to improve the capacity of search space for the MPCA. Four different strategies to compute the reflected and/or opposited points are implemented. The performance of all implementation are evaluated with four objective functions.

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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!
2
Average
Average
Average
bronze