Distance Based Parameter Adaptation for Differential Evolution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517060" target="_blank" >RIV/70883521:28140/17:63517060 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Distance Based Parameter Adaptation for Differential Evolution
Original language description
This paper proposes a simple, yet effective, modification to scaling factor and crossover rate adaptation in Success-History based Adaptive Differential Evolution (SHADE), which can be used as a framework to all SHADE-based algorithms. The performance impact of the proposed method is shown on the CEC2015 benchmark set in 10 and 30 dimensions for both SHADE and L-SHADE (SHADE with linear decrease of population size) algorithms.
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)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings
ISBN
978-1-5386-2725-9
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
2612-2618
Publisher name
IEEE
Place of publication
New Jersey, Piscataway
Event location
Honolulu, Hawai
Event date
Nov 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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