A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design
This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA h...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/2854/ |
| _version_ | 1848827269213061120 |
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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 chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial
foraging algorithm (BFA) chemotaxis strategy and spiral
dynamics algorithm (SDA). The original BFA has higher
convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller. |
| first_indexed | 2025-11-15T01:16:47Z |
| format | Conference or Workshop Item |
| id | ump-2854 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:58:02Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-28542025-10-10T07:46:48Z https://umpir.ump.edu.my/id/eprint/2854/ A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller. 2012-09-03 Conference or Workshop Item PeerReviewed application/pdf en cc_by https://umpir.ump.edu.my/id/eprint/2854/1/129-Paper_175.pdf Ahmad Nor Kasruddin, Nasir and Normaniha, Abd Ghani and Mohd Ashraf, Ahmad (2012) A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design. In: UKACC International Conference on Control 2012 , 3-5 September 2012 , Cardiff, UK. pp. 753-758.. (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Normaniha, Abd Ghani Mohd Ashraf, Ahmad A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title | A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title_full | A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title_fullStr | A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title_full_unstemmed | A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title_short | A Novel Hybrid Spiral Dynamics Bacterial Chemotaxis Algorithm for Global Optimization with Application to Controller Design |
| title_sort | novel hybrid spiral dynamics bacterial chemotaxis algorithm for global optimization with application to controller design |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | https://umpir.ump.edu.my/id/eprint/2854/ |