Fuzzy optimum PSO: PSO with optimized fuzzy controllers
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important struc...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2024-02-01
|
| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/5208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849768028700409856 |
|---|---|
| author | Omid Mokhlessi Seyed Hamid Zahiri Nasser Mehrshad |
| author_facet | Omid Mokhlessi Seyed Hamid Zahiri Nasser Mehrshad |
| author_sort | Omid Mokhlessi |
| collection | DOAJ |
| description | Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO. However, in those researches no effort were reported for optimizing the structural parameters of the designed fuzzy controller. In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. FOPSO utilizes two optimized fuzzy systems for optimal controlling the main parameters of basic PSO. Extensive experimental results on many benchmark functions with different dimensions show that the powerfulness and effectiveness of the proposed FOPSO outperforms other versions of PSO. |
| format | Article |
| id | doaj-art-9a08bfce74bf4d5283f014c4baa2f441 |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-9a08bfce74bf4d5283f014c4baa2f4412025-08-20T03:03:58ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0163Fuzzy optimum PSO: PSO with optimized fuzzy controllersOmid Mokhlessi0Seyed Hamid Zahiri1Nasser Mehrshad2Department of Electrical Engineering, Birjand University, Birjand, IranDepartment of Electrical Engineering, Birjand University, Birjand, IranDepartment of Electrical Engineering, Birjand University, Birjand, IranSince the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO. However, in those researches no effort were reported for optimizing the structural parameters of the designed fuzzy controller. In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. FOPSO utilizes two optimized fuzzy systems for optimal controlling the main parameters of basic PSO. Extensive experimental results on many benchmark functions with different dimensions show that the powerfulness and effectiveness of the proposed FOPSO outperforms other versions of PSO.https://oiccpress.com/mjee/article/view/5208reliability. Technical feasibility |
| spellingShingle | Omid Mokhlessi Seyed Hamid Zahiri Nasser Mehrshad Fuzzy optimum PSO: PSO with optimized fuzzy controllers Majlesi Journal of Electrical Engineering reliability. Technical feasibility |
| title | Fuzzy optimum PSO: PSO with optimized fuzzy controllers |
| title_full | Fuzzy optimum PSO: PSO with optimized fuzzy controllers |
| title_fullStr | Fuzzy optimum PSO: PSO with optimized fuzzy controllers |
| title_full_unstemmed | Fuzzy optimum PSO: PSO with optimized fuzzy controllers |
| title_short | Fuzzy optimum PSO: PSO with optimized fuzzy controllers |
| title_sort | fuzzy optimum pso pso with optimized fuzzy controllers |
| topic | reliability. Technical feasibility |
| url | https://oiccpress.com/mjee/article/view/5208 |
| work_keys_str_mv | AT omidmokhlessi fuzzyoptimumpsopsowithoptimizedfuzzycontrollers AT seyedhamidzahiri fuzzyoptimumpsopsowithoptimizedfuzzycontrollers AT nassermehrshad fuzzyoptimumpsopsowithoptimizedfuzzycontrollers |