An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure
The past three decades have witnessed the rapid development of nature-inspired algorithms. Among these, population-based optimization algorithms have gained significant popularity due to their effectiveness in solving a wide range of problems. Particle Swarm Optimization (PSO) stands out as a pionee...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10820314/ |
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| author | Ali Solak Altan Onat Onur Kilinc |
| author_facet | Ali Solak Altan Onat Onur Kilinc |
| author_sort | Ali Solak |
| collection | DOAJ |
| description | The past three decades have witnessed the rapid development of nature-inspired algorithms. Among these, population-based optimization algorithms have gained significant popularity due to their effectiveness in solving a wide range of problems. Particle Swarm Optimization (PSO) stands out as a pioneering algorithm in this domain. Bare-Bones Particle Swarm Optimization (BBPSO) is a simplified variant of PSO that eliminates the velocity term and additional parameters. This study introduces a novel sequential update rule for BBPSO, along with a modification to the standard algorithm. The proposed methods were evaluated on a comprehensive benchmark suite, including 36 benchmark problems from the literature, 30 benchmark problems from CEC2021, consisting of 10 basic and 20 transformed variants and 5 engineering optimization problems. Comparative analysis with standard BBPSO and other simplified PSO variants demonstrated the effectiveness of our proposed approach. |
| format | Article |
| id | doaj-art-04fcda769dd3474c8b6bfc08dc35c77d |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-04fcda769dd3474c8b6bfc08dc35c77d2025-01-10T00:01:04ZengIEEEIEEE Access2169-35362025-01-01134789481410.1109/ACCESS.2025.352560310820314An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified StructureAli Solak0https://orcid.org/0000-0002-4643-4563Altan Onat1https://orcid.org/0000-0002-0421-5653Onur Kilinc2https://orcid.org/0000-0002-0687-7917Electrical and Electronics Engineering Department, Engineering Faculty, Eskişehir Technical University, İki Eylül Campus, Eskişehir, TürkiyeElectrical and Electronics Engineering Department, Engineering Faculty, Eskişehir Technical University, İki Eylül Campus, Eskişehir, TürkiyeRail Systems Electrical and Electronics, Motor Vehicles and Transportation Technologies, Vocational School of Transportation, Eskişehir Technical University, Eskişehir, TürkiyeThe past three decades have witnessed the rapid development of nature-inspired algorithms. Among these, population-based optimization algorithms have gained significant popularity due to their effectiveness in solving a wide range of problems. Particle Swarm Optimization (PSO) stands out as a pioneering algorithm in this domain. Bare-Bones Particle Swarm Optimization (BBPSO) is a simplified variant of PSO that eliminates the velocity term and additional parameters. This study introduces a novel sequential update rule for BBPSO, along with a modification to the standard algorithm. The proposed methods were evaluated on a comprehensive benchmark suite, including 36 benchmark problems from the literature, 30 benchmark problems from CEC2021, consisting of 10 basic and 20 transformed variants and 5 engineering optimization problems. Comparative analysis with standard BBPSO and other simplified PSO variants demonstrated the effectiveness of our proposed approach.https://ieeexplore.ieee.org/document/10820314/Bare bones particle swarm optimizationengineering optimization problemsmodified bare bones particle swarm optimizationparticle swarm optimization |
| spellingShingle | Ali Solak Altan Onat Onur Kilinc An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure IEEE Access Bare bones particle swarm optimization engineering optimization problems modified bare bones particle swarm optimization particle swarm optimization |
| title | An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure |
| title_full | An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure |
| title_fullStr | An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure |
| title_full_unstemmed | An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure |
| title_short | An Improved Bare Bones Particle Swarm Optimization Algorithm Based on Sequential Update Mechanism and a Modified Structure |
| title_sort | improved bare bones particle swarm optimization algorithm based on sequential update mechanism and a modified structure |
| topic | Bare bones particle swarm optimization engineering optimization problems modified bare bones particle swarm optimization particle swarm optimization |
| url | https://ieeexplore.ieee.org/document/10820314/ |
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