Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC’17 Benchmark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63524083" target="_blank" >RIV/70883521:28140/20:63524083 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-37838-7_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-37838-7_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-37838-7_6" target="_blank" >10.1007/978-3-030-37838-7_6</a>
Alternative languages
Result language
angličtina
Original language name
Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC’17 Benchmark
Original language description
This paper is focused on the influence of boundary strategies for the popular swarm-intelligence based optimization algorithm: Self-organizing Migrating Algorithm (SOMA). A similar extensive study was already performed for the most famous representative of swarm-based algorithm, which is Particle Swarm Optimization (PSO), and showed the importance of related research for other swarm-based techniques, like SOMA. The current CEC’17 benchmark suite is used for the performance comparison of the case studies, and the results are compared and tested for statistical significance using the Friedman Rank test.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Communications in Computer and Information Science
ISBN
978-3-030-37837-0
ISSN
1865-0929
e-ISSN
—
Number of pages
12
Pages from-to
58-69
Publisher name
Springer Nature
Place of publication
Londýn
Event location
Maribor
Event date
Jul 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—