Evaluation of differential evolution with interaction network on a real-parameter optimization benchmark

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86100042" target="_blank" >RIV/61989100:27740/16:86100042 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/16:86100042
Result on the web
<a href="http://ieeexplore.ieee.org/document/7744165/" target="_blank" >http://ieeexplore.ieee.org/document/7744165/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2016.7744165" target="_blank" >10.1109/CEC.2016.7744165</a>

Result language
angličtina
Original language name
Evaluation of differential evolution with interaction network on a real-parameter optimization benchmark
Original language description
Differential evolution (DE) is a popular member of the wide family of population-based evolutionary optimization methods. These general purpose methods solve arbitrary problems by iteratively evolving a pool (population) of candidate solutions. Candidate solutions are during the artificial evolution updated and modified so that they efficiently explore solution space of the solved problem. Population-based metaheuristics focus on finding local or global optima with respect to selected optimization criteria (objective function). The iterative updates of candidate solutions usually involve some sort of interaction and information exchange. This behaviour has been recently cast as a temporal interaction network to allow a network-centric representation and research of artificial evolution. In this paper, we use a network-based model of the interactions in DE to improve the underlying algorithm. A simple extension of a traditional DE utilizing the properties of its interaction network is proposed in order to study the usefulness of this concept. The extended algorithm is evaluated on the CEC 2016 real-parameter optimization benchmark. (C) 2016 IEEE.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2016 IEEE Congress on Evolutionary Computation, CEC 2016
ISBN
978-1-5090-0622-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2974-2981
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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