Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522687" target="_blank" >RIV/70883521:28140/19:63522687 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8790283" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8790283</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2019.8790283" target="_blank" >10.1109/CEC.2019.8790283</a>
Alternative languages
Result language
angličtina
Original language name
Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm
Original language description
In this paper, a new modification for a modern and popular optimization Self Organizing Migrating Algorithm (SOMA) is presented. SOMA resembles swarm-based algorithms together with mutation process given by perturbation and self-adaptation of individual’s migration over the hyperspace of a given optimized solution. However, the quality of the solution found by SOMA strongly depends on user-defined parameters. This is not problematic only for new users, but sometimes for experts as well. The proposed modification allows individual (solution) to change its parameters based on its actual performance and adapts to specific optimization problems. The recent CEC´17 benchmark suite is used for analyzing an original SOMA and performance testing of a proposed SOMA modification. The results are compared and tested for statistical significance.
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
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
2019 IEEE Congress on Evolutionary Computation (CEC)
ISBN
978-1-72812-153-6
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
2908-2914
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Wellington
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502087102119