Benchmarking the Differential Evolution with Adaptive Encoding on Noiseless Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00199150" target="_blank" >RIV/68407700:21230/12:00199150 - isvavai.cz</a>
Result on the web
<a href="http://delivery.acm.org/10.1145/2340000/2330813/p189-posik.pdf?ip=147.32.80.13&acc=ACTIVE%20SERVICE&CFID=238608849&CFTOKEN=89151821&__acm__=1356598649_d6a2429339c7c052e469f50b33108849" target="_blank" >http://delivery.acm.org/10.1145/2340000/2330813/p189-posik.pdf?ip=147.32.80.13&acc=ACTIVE%20SERVICE&CFID=238608849&CFTOKEN=89151821&__acm__=1356598649_d6a2429339c7c052e469f50b33108849</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2330784.2330813" target="_blank" >10.1145/2330784.2330813</a>
Alternative languages
Result language
angličtina
Original language name
Benchmarking the Differential Evolution with Adaptive Encoding on Noiseless Functions
Original language description
The differential evolution (DE) algorithm is equipped with the recently proposed adaptive encoding (AE) which makes the algorithm rotationally invariant. The resulting algorithm, DEAE, should exhibit better performance on non separable functions. The aimof this article is to assess what benefits the AE has, and what effect it has for other function groups. DEAE is compared against pure DE, an adaptive version of DE (JADE), and an evolutionary strategy with covariance matrix adaptation (CMA ES). The results suggest that AE indeed improves the performance of DE, particularly on the group of unimodal non separable functions, but the adaptation of parameters used in JADE is more profitable on average. The use of AE inside JADE is envisioned.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion
ISBN
978-1-4503-1177-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
189-196
Publisher name
ACM
Place of publication
New York
Event location
Philadelphia
Event date
Jul 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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