Complex Networks in Particle Swarm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63517169" target="_blank" >RIV/70883521:28140/18:63517169 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-662-55663-4_7" target="_blank" >http://dx.doi.org/10.1007/978-3-662-55663-4_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-662-55663-4_7" target="_blank" >10.1007/978-3-662-55663-4_7</a>

Result language

angličtina

Original language name

Complex Networks in Particle Swarm

Original language description

This chapter presents an proposal of methodology for converting the inner dynamics of PSO algorithm into complex network. The motivation is in the recent trend of adaptive and learning methods for improving the performance of evolutionary computational techniques. It seems very likely that the complex network and its statistical characteristics can be used within those adaptive approaches. The network analysis also provides usefull insight into the inner dynamic of PSO. The methodology described in this chapter uses the communication in the swarm for construction of the network.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

ISBN

978-3-662-55661-0

Number of pages of the result

15

Pages from-to

145-159

Number of pages of the book

312

Publisher name

Springer-Verlag GmbH

Place of publication

Heidelberg

UT code for WoS chapter

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