Adaptive Differential Evolution: SHADE with Competing Crossover Strategies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F15%3AA1601DQH" target="_blank" >RIV/61988987:17310/15:A1601DQH - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Adaptive Differential Evolution: SHADE with Competing Crossover Strategies
Original language description
Possible improvement of a successful adaptive SHADE variant of differential evolution is addressed. Exploitation of exponential crossover was applied in two newly proposed SHADE variants. The algorithms were compared experimentally on CEC 2013 test suiteused as a benchmark. The results show that the variant using adaptive strategy of the competition of two types of crossover is significantly more efficient than other SHADE variants in 7 out of 28 problems and not worse in the others. Thus, this SHADE with competing crossovers can be considered superior to original SHADE algorithm.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
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 Artificial Intelligence 9119
ISBN
978-3-319-19323-6
ISSN
0302-9743
e-ISSN
—
Number of pages
11
Pages from-to
329-339
Publisher name
Springer
Place of publication
New York
Event location
Zakopane, Polsko
Event date
Jun 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—