The exponential crossover in L-SHADE algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701GW9" target="_blank" >RIV/61988987:17610/16:A1701GW9 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
The exponential crossover in L-SHADE algorithm
Original language description
Differential evolution is popular and efficient algorithm for global optimization. L-SHADE algorithm is one of the most successful adaptive versions of the algorithm. It uses only binomial crossover. We study employing the exponential crossover in the algorithm. Our tests are carried out on CEC2015 benchmark set for learning-based optimization competition. According to our results, the employing of the exponential crossover together with binomial one into L-SHADE algorithm is beneficial.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</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
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
Bioinspired Optimization Methods and their Applications, BIOMA 2016
ISBN
9789612640934
ISSN
—
e-ISSN
—
Number of pages
14
Pages from-to
145-158
Publisher name
Jožef Stefana Institute
Place of publication
Ljubljana, Slovenia
Event location
Bled, Slovinsko
Event date
May 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—