SOMA-Self-organizing Migrating Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100470" target="_blank" >RIV/61989100:27240/16:86100470 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_1" target="_blank" >http://dx.doi.org/10.1007/978-3-319-28161-2_1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_1" target="_blank" >10.1007/978-3-319-28161-2_1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

SOMA-Self-organizing Migrating Algorithm

Popis výsledku v původním jazyce

This chapter discuss basic principles of Self-Organizing Migrating Algorithm (SOMA) that has been firstly proposed in 1999 and published consequently in various journals, book chapters and conferences. Algorithm itself is, from today classification point of view, between memetic and swarm algorithms and is based on competetive-cooperative strategies, that generate new solutions. During its existence it has been tested on various problems, including realtime + black box ones, it has been parallelized and used with such algorithms like genetic programming, grammatical evolution or/and analytic programming in order to synthesize complex structures-solutions of different problems. In this chapter are discussed basics of algorithm, its use and selected applications. All mentioned SOMA use is completely referenced for detailed reading and further research. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

SOMA-Self-organizing Migrating Algorithm

Popis výsledku anglicky

This chapter discuss basic principles of Self-Organizing Migrating Algorithm (SOMA) that has been firstly proposed in 1999 and published consequently in various journals, book chapters and conferences. Algorithm itself is, from today classification point of view, between memetic and swarm algorithms and is based on competetive-cooperative strategies, that generate new solutions. During its existence it has been tested on various problems, including realtime + black box ones, it has been parallelized and used with such algorithms like genetic programming, grammatical evolution or/and analytic programming in order to synthesize complex structures-solutions of different problems. In this chapter are discussed basics of algorithm, its use and selected applications. All mentioned SOMA use is completely referenced for detailed reading and further research. (C) Springer International Publishing Switzerland 2016.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-06700S" target="_blank" >GA15-06700S: Nekonvenční řízení komplexních systémů</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Studies in Computational Intelligence. Volume 642

ISBN

978-3-642-34299-8

Počet stran výsledku

47

Strana od-do

3-49

Počet stran knihy

289

Název nakladatele

Springer Verlag

Místo vydání

New York

Kód UT WoS kapitoly

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