Analysis of SOMA Algorithm Using Complex Network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237791" target="_blank" >RIV/61989100:27240/17:10237791 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/17:10237791

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-662-55663-4_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-662-55663-4_5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-662-55663-4_5" target="_blank" >10.1007/978-3-662-55663-4_5</a>

Result language

angličtina

Original language name

Analysis of SOMA Algorithm Using Complex Network

Original language description

In this chapter, that is a continuation of the previous one; we show some basic complex network analysis of SOMA algorithm on selected cost functions. The interesting facts, which can be used to improve the algorithm, are discussed here. Also, comparison of different runs of SOMA algorithm on the same test functions is presented here.

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

<a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

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

115-129

Number of pages of the book

312

Publisher name

Springer-Verlag Berlin Heidelberg

Place of publication

Berlin

UT code for WoS chapter

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