Competition on learning-based real-parameter single objective optimization by SOMA swarm based algorithm with SOMARemove strategy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86099246" target="_blank" >RIV/61989100:27740/16:86099246 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/16:86099246

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CEC.2016.7744428" target="_blank" >http://dx.doi.org/10.1109/CEC.2016.7744428</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CEC.2016.7744428" target="_blank" >10.1109/CEC.2016.7744428</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Competition on learning-based real-parameter single objective optimization by SOMA swarm based algorithm with SOMARemove strategy

Popis výsledku v původním jazyce

In this participation, we are continuing in our research on swarm based algorithm SOMA - Self Organized Migrating Algorithm and its use on problems defined in Competition track at WCCI 2016. SOMA algorithm has been used exactly according to defined propositions and obtained results are reported here. The most problematics step has been setting of the SOMA algorithm. In this paper we describe not only SOMA principles, but also how and why the SOMA parameters has been set to its values. The used approach has been used on learning - based real-parameter single objective optimization in order to test an increase the performance of selected SOMA strategy.

Název v anglickém jazyce

Competition on learning-based real-parameter single objective optimization by SOMA swarm based algorithm with SOMARemove strategy

Popis výsledku anglicky

In this participation, we are continuing in our research on swarm based algorithm SOMA - Self Organized Migrating Algorithm and its use on problems defined in Competition track at WCCI 2016. SOMA algorithm has been used exactly according to defined propositions and obtained results are reported here. The most problematics step has been setting of the SOMA algorithm. In this paper we describe not only SOMA principles, but also how and why the SOMA parameters has been set to its values. The used approach has been used on learning - based real-parameter single objective optimization in order to test an increase the performance of selected SOMA strategy.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

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 statě ve sborníku

2016 IEEE Congress on Evolutionary Computation, CEC 2016

ISBN

978-1-5090-0622-9

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

4981-4987

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Vancouver

Datum konání akce

24. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390749105022