On the influence of different randomization and complex network analysis 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%2F16%3A43875585" target="_blank" >RIV/70883521:28140/16:43875585 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7744213/" target="_blank" >http://ieeexplore.ieee.org/document/7744213/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2016.7744213" target="_blank" >10.1109/CEC.2016.7744213</a>
Alternative languages
Result language
angličtina
Original language name
On the influence of different randomization and complex network analysis for differential evolution
Original language description
This research deals with the hybridization of the chaos driven heuristics concept and complex networks framework for evolutionary algorithms. This paper aims on the experimental investigations on the influence of different randomization types for chaos-driven Differential Evolution (DE) through the analysis of complex network as a record of population dynamics. The population is visualized as an evolving complex network, which exhibits non-trivial features. Complex network attributes such as adjacency graph gives interconnectivity, centralities give the overview of convergence and stagnation, clustering coefficient gives diversity of population whereas other attributes like network density, average number of neighbors within the population shows efficiency of the network. Experiments were performed for two different DE strategies, four different randomization types and two simple test functions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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)<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
2016 IEEE Congress on Evolutionary Computation, CEC 2016
ISBN
978-1-5090-0622-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
3346-3353
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390749103069