Network Based Linear Population Size Reduction in SHADE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875355" target="_blank" >RIV/70883521:28140/16:43875355 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7695154/" target="_blank" >http://ieeexplore.ieee.org/document/7695154/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2016.50" target="_blank" >10.1109/INCoS.2016.50</a>
Alternative languages
Result language
angličtina
Original language name
Network Based Linear Population Size Reduction in SHADE
Original language description
This research paper presents a new approach to population size reduction in Success-History based Adaptive Differential Evolution (SHADE). The current L-SHADE algorithm uses fitness function value to select individuals which will be deleted from the current population. Algorithm variant proposed in this paper (Net L-SHADE) is using the information from evolutionary process to construct a network of individuals and the ones which would be deleted are selected based on their degree of centrality. The proposed technique is compared to state-of-art L-SHADE on CEC2015 benchmark set and the results are reported.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS)
ISBN
978-1-5090-4123-7
ISSN
2470-9166
e-ISSN
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Number of pages
8
Pages from-to
86-93
Publisher name
IEEE
Place of publication
New York
Event location
Ostrava
Event date
Sep 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386596100016