Blend of Local and Global Variant of PSO in ABC
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Blend of Local and Global Variant of PSO in ABC
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 World Congress on Nature and Biologically Inspired Computing, NaBIC 2013
ISBN
978-1-4799-1415-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
113-119
Publisher name
Elsevier
Place of publication
New York
Event location
Fargo
Event date
Aug 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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