A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design
This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploita...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf |
| _version_ | 1848817137003528192 |
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| author | Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad |
| author_facet | Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad |
| author_sort | Ahmad Nor Kasruddin, Nasir |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploitation strategy while SDA has superior exploration approach and stable convergence when approaching the optimum value. The hybrid algorithm preserves the strengths of BFA and SDA, thus producing better results. Moreover, it has simple structure and involves less computational burden. Several unimodal and multimodal benchmark functions are employed to test the algorithm in determining the global optimum point. Furthermore, the proposed method is applied to a proportional-derivative (PD) controller optimization for a flexible manipulator system (FMS). The results show that HSDBF outperforms BFA in all test functions and successfully optimizes the PD controller. |
| first_indexed | 2025-11-15T01:16:59Z |
| format | Conference or Workshop Item |
| id | ump-2927 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:16:59Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-29272018-02-02T07:59:44Z http://umpir.ump.edu.my/id/eprint/2927/ A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid optimization algorithm referred to as Hybrid spiral dynamics bacterial foraging (HSDBF). The algorithm synergizes spiral adaptive simplified bacterial foraging algorithm (BFA) and spiral dynamics inspired optimization algorithm (SDA). The standard BFA has better exploitation strategy while SDA has superior exploration approach and stable convergence when approaching the optimum value. The hybrid algorithm preserves the strengths of BFA and SDA, thus producing better results. Moreover, it has simple structure and involves less computational burden. Several unimodal and multimodal benchmark functions are employed to test the algorithm in determining the global optimum point. Furthermore, the proposed method is applied to a proportional-derivative (PD) controller optimization for a flexible manipulator system (FMS). The results show that HSDBF outperforms BFA in all test functions and successfully optimizes the PD controller. 2012-09-05 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Mohd Ashraf, Ahmad (2012) A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design. In: Workshop on Computational Intelligence (UKCI), 2012 12th UK , 5-7 September 2012 , Edinburgh, United Kingdom. pp. 1-7.. (Published) http://dx.doi.org/10.1109/UKCI.2012.6335764 |
| spellingShingle | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title | A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title_full | A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title_fullStr | A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title_full_unstemmed | A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title_short | A Novel Hybrid Spiral-Dynamics Bacterial-Foraging Algorithm for Global Optimization with Application to Control Design |
| title_sort | novel hybrid spiral-dynamics bacterial-foraging algorithm for global optimization with application to control design |
| topic | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/ http://umpir.ump.edu.my/id/eprint/2927/1/fkee-2012-kasruddin-novel_hybrid_spiral_abs_only_done_upload.pdf |