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http://arxiv.org/pdf/1805.0585...
Part of book or chapter of book
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arXiv.org e-Print Archive
Preprint . 2018
Data sources: arXiv.org e-Print Archive
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2017 . Peer-reviewed
License: Springer TDM
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https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2018 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2018
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https://arxiv.org/pdf/1805.058...
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Social Algorithms

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Other literature type 01 Jan 2017Embargo end date: 01 Jan 2018 English Publisher:Springer Berlin Heidelberg
Authors: Xin-She Yang;

doi: 10.1007/978-3-642-27737-5_678-1 , 10.1007/978-1-4939-6883-1_678 , 10.48550/arxiv.1805.05855

arXiv: http://arxiv.org/abs/1805.05855

Social Algorithms

Abstract

This article concerns the review of a special class of swarm intelligence based algorithms for solving optimization problems and these algorithms can be referred to as social algorithms. Social algorithms use multiple agents and the social interactions to design rules for algorithms so as to mimic certain successful characteristics of the social/biological systems such as ants, bees, bats, birds and animals.

Encyclopedia of Complexity and Systems Science, 2017

Related Organizations
Keywords

FOS: Computer and information sciences, 68T99, 68W20, 90C30, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Computational Complexity (cs.CC), Computer Science - Computational Complexity, Artificial Intelligence (cs.AI), Optimization and Control (math.OC), FOS: Mathematics, Neural and Evolutionary Computing (cs.NE), Mathematics - Optimization and Control

  • BIP!
    Impact byBIP!
    citations
    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).
    		 4
    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).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
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!
4
Top 10%
Average
Average
Green