Parametric optimization of fuzzy control systems based on hybrid particle swarm algorithms with elite strategy
Saved in:
| Date: | 2019 |
|---|---|
| Main Authors: | Ju. P. Kondratenko, A. V. Kozlov |
| Format: | Article |
| Language: | English |
| Published: |
2019
|
| Series: | International Scientific Technical Journal «Problems of Control and Informatics» |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001265949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
-
Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
by: Anwar , N., et al.
Published: (2021) -
Takagi-Sugeno fuzzy model identification using improved multiswarm particle swarm optimization in solar photovoltaics
by: Zdiri, S., et al.
Published: (2025) -
Resources Distribution Model of Critical IT Infrastructure with Clear Parameters Based on the Particle Swarm Algorithm
by: Ya. Yu. Dorohyi, et al.
Published: (2019) -
Generation of rule bases of fuzzy systems based on modified ant colony algorithms
by: Ju. P. Kondratenko, et al.
Published: (2019) -
Search of optimal membership functions of fuzzy systems based on bio-inspired evolutionary algorithms. Part I. Step-by-step method
by: A. V. Kozlov, et al.
Published: (2021)