Blend of Local and Global Variant of PSO in ABC

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86089366" target="_blank" >RIV/61989100:27740/13:86089366 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/NaBIC.2013.6617848" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2013.6617848</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/NaBIC.2013.6617848" target="_blank" >10.1109/NaBIC.2013.6617848</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Blend of Local and Global Variant of PSO in ABC

Popis výsledku v původním jazyce

Artificial bee colony is a recently proposed metaheuristic optimization technique and is a new member of swarm intelligence based algorithms. It mimics the foraging behavior of honey bees. The performance of Artificial Bee Colony (ABC), like other metaheuristics, is heavily dependent on the tradeoff between their exploration and exploitation aptitude. In this paper a variant called Local Global variant Artificial Bee Colony (LGABC) is proposed to balance the exploration and exploitation in ABC. The proposal harnesses the local and global variant of Particle Swarm Optimization (PSO) into ABC. The proposed variant is investigated on a set of thirteen well known constrained benchmarks problems and three chemical engineering problems, which show that the variant can get high-quality solutions efficiently.

Název v anglickém jazyce

Blend of Local and Global Variant of PSO in ABC

Popis výsledku anglicky

Artificial bee colony is a recently proposed metaheuristic optimization technique and is a new member of swarm intelligence based algorithms. It mimics the foraging behavior of honey bees. The performance of Artificial Bee Colony (ABC), like other metaheuristics, is heavily dependent on the tradeoff between their exploration and exploitation aptitude. In this paper a variant called Local Global variant Artificial Bee Colony (LGABC) is proposed to balance the exploration and exploitation in ABC. The proposal harnesses the local and global variant of Particle Swarm Optimization (PSO) into ABC. The proposed variant is investigated on a set of thirteen well known constrained benchmarks problems and three chemical engineering problems, which show that the variant can get high-quality solutions efficiently.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

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

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

2013 World Congress on Nature and Biologically Inspired Computing, NaBIC 2013

ISBN

978-1-4799-1415-9

ISSN

—

e-ISSN

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Počet stran výsledku

7

Strana od-do

113-119

Název nakladatele

Elsevier

Místo vydání

New York

Místo konání akce

Fargo

Datum konání akce

12. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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