Shade mutation strategy analysis via dynamic simulation in complex network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517062" target="_blank" >RIV/70883521:28140/17:63517062 - isvavai.cz</a>
Result on the web
<a href="https://publikace.k.utb.cz/handle/10563/1007244" target="_blank" >https://publikace.k.utb.cz/handle/10563/1007244</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Shade mutation strategy analysis via dynamic simulation in complex network
Original language description
This paper presents a novel approach to visualizing Evolutionary Algorithm (EA) dynamic in complex network and analyses the greediness of "current-topbest/1" mutation strategy used in state-of-art Differential Evolution (DE) algorithm-Success-History based Adaptive DE (SHADE) on CEC2015 benchmark set of test functions. Provided analysis suggests that the greediness might not be the optimal approach for guiding the evolution.
Czech name
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Czech description
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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)

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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
ISBN
978-099324404-9
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
299-305
Publisher name
European Council for Modelling and Simulation
Place of publication
Madrid
Event location
Budapešť
Event date
May 23, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000404420000045

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