Elitist Teaching Learning Opposition based Algorithm for Global Optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084784" target="_blank" >RIV/61989100:27240/12:86084784 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377882" target="_blank" >http://dx.doi.org/10.1109/ICSMC.2012.6377882</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICSMC.2012.6377882" target="_blank" >10.1109/ICSMC.2012.6377882</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Elitist Teaching Learning Opposition based Algorithm for Global Optimization

Popis výsledku v původním jazyce

In this paper, a new variant of Teaching-Learning based Optimization (TLBO), termed as Elitist Teaching-Learning Opposition based (ETLOBA) Algorithm has been proposed for numerical function optimization. The proposed method is empowered with two mechanisms to reach the accurate global optimum with less time complexity. One of them is elitism, which strengthens the capability of optimization method by retaining the best solution obtained so far, on the other hand Opposition method helps in ameliorating the capability of searching. As ETLOBA had an advantage of both Elitism and Opposition based learning, hence it tries to obtain optimum solutions with guaranteed convergence. The proposed method has been tested on several benchmark functions and the results obtained by ETLOBA are been compared with new state-of-art optimization methods like ABC, HS etc., shows the superiority of the proposed approach in solving continuous optimization problems

Název v anglickém jazyce

Elitist Teaching Learning Opposition based Algorithm for Global Optimization

Popis výsledku anglicky

In this paper, a new variant of Teaching-Learning based Optimization (TLBO), termed as Elitist Teaching-Learning Opposition based (ETLOBA) Algorithm has been proposed for numerical function optimization. The proposed method is empowered with two mechanisms to reach the accurate global optimum with less time complexity. One of them is elitism, which strengthens the capability of optimization method by retaining the best solution obtained so far, on the other hand Opposition method helps in ameliorating the capability of searching. As ETLOBA had an advantage of both Elitism and Opposition based learning, hence it tries to obtain optimum solutions with guaranteed convergence. The proposed method has been tested on several benchmark functions and the results obtained by ETLOBA are been compared with new state-of-art optimization methods like ABC, HS etc., shows the superiority of the proposed approach in solving continuous optimization problems

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/EE.2.3.20.0073" target="_blank" >EE.2.3.20.0073: Bio-inspirované metody: věda, vzdělávání a transfer znalostí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2012

ISBN

978-1-4673-1714-6

ISSN

1062-922X

e-ISSN

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Počet stran výsledku

6

Strana od-do

1124-1129

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Soul

Datum konání akce

14. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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