Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901U2X" target="_blank" >RIV/61988987:17310/18:A1901U2X - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-91641-5" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91641-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91641-5" target="_blank" >10.1007/978-3-319-91641-5</a>

Result language
angličtina
Original language name
Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems
Original language description
A cooperative model of eight popular nature-inspired algorithms (CoNI) is proposed and compared withthe original algorithms on benchmark set CEC 2011 collection of 22 real-world optimization problems.The results of experiments demonstrate the superiority of CoNI variant in the most of the real-world problems although some of original nature-inspired algorithms perform rather poorly. Proposed CoNI shares the best position in 20 out of 22 problems and achieves the best results in 8 out 22 test problems. Further fundamental points for improvement of CoNI are in selection of topology, migration policy, and migration frequency.
Czech name
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Czech description
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Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Bioinspired Optimization Methods and Their Applications
ISBN
978-3-319-91640-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
50-61
Publisher name
Springer International Publishing AG, part of Springer Nature
Place of publication
Paris
Event location
Paris
Event date
May 16, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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