On the prolonged exploration of distance based parameter adaptation in SHADE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520320" target="_blank" >RIV/70883521:28140/18:63520320 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-91253-0_52" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-91253-0_52</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91253-0_52" target="_blank" >10.1007/978-3-319-91253-0_52</a>
Alternative languages
Result language
angličtina
Original language name
On the prolonged exploration of distance based parameter adaptation in SHADE
Original language description
In this paper, a prolonged exploration ability of distance based parameter adaptation is subject to a test via clustering analysis of the population in Success-History based Adaptive Differential Evolution (SHADE). The comparative study is done on the CEC 2015 benchmark set in two dimensional settings – 10D and 30D. It is shown, that the exploration phase of distance based adaptation in SHADE (Db_SHADE) lasts for more generations and therefore avoids the premature convergence into local optima. © Springer International Publishing AG, part of Springer Nature 2018.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10841
ISBN
978-331991252-3
ISSN
03029743
e-ISSN
neuvedeno
Number of pages
11
Pages from-to
561-571
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zakopane
Event date
Jun 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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