Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522817" target="_blank" >RIV/70883521:28140/19:63522817 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-20912-4_46" target="_blank" >http://dx.doi.org/10.1007/978-3-030-20912-4_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-20912-4_46" target="_blank" >10.1007/978-3-030-20912-4_46</a>
Alternative languages
Result language
angličtina
Original language name
Population Diversity Analysis in Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
Original language description
This research represents a detailed insight into the modern and popular hybridization of unconventional quasiperiodic/chaotic sequences and evolutionary computation. It is aimed at the influence of different randomization schemes on the population diversity, thus on the performance, of two selected adaptive Differential Evolution (DE) variants. Experiments are focused on the extensive investigation of totally ten different randomization schemes for the selection of individuals in DE algorithm driven by the default pseudo-random generator of Java environment and nine different two-dimensional discrete chaotic systems, as the unconventional chaotic pseudo-random number generators. The population diversity is recorded for 15 test functions from the CEC 2015 benchmark set in 10D.
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-20911-7
ISSN
03029743
e-ISSN
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Number of pages
13
Pages from-to
506-518
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zakopane
Event date
Jun 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000485150200046