Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model
This paper proposes new metaheuristic algorithms for an identification problem of nonlinear friction model. The proposed cooperative algorithms are formed from the bacterial foraging optimization (BFO) algorithm and the tabu search (TS). The paper reports the search comparison studies of the BFO, th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/238563 |
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| _version_ | 1832565507390177280 |
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| author | Nuapett Sarasiri Kittiwong Suthamno Sarawut Sujitjorn |
| author_facet | Nuapett Sarasiri Kittiwong Suthamno Sarawut Sujitjorn |
| author_sort | Nuapett Sarasiri |
| collection | DOAJ |
| description | This paper proposes new metaheuristic algorithms for an identification problem of nonlinear friction model. The proposed cooperative algorithms are formed from the bacterial foraging optimization
(BFO) algorithm and the tabu search (TS). The paper reports the search comparison studies of the BFO,
the TS, the genetic algorithm (GA), and the proposed metaheuristics. Search performances are assessed by
using surface optimization problems. The proposed algorithms show superiority among them. A real-world
identification problem of the Stribeck friction model parameters is presented. Experimental setup
and results are elaborated. |
| format | Article |
| id | doaj-art-5413adbf85d84c30baed1479fc36df10 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-5413adbf85d84c30baed1479fc36df102025-02-03T01:07:24ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/238563238563Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction ModelNuapett Sarasiri0Kittiwong Suthamno1Sarawut Sujitjorn2Power Electronics, Machines, and Control Research Group, Control and Automation Research Unit, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandPower Electronics, Machines, and Control Research Group, Control and Automation Research Unit, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandPower Electronics, Machines, and Control Research Group, Control and Automation Research Unit, School of Electrical Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandThis paper proposes new metaheuristic algorithms for an identification problem of nonlinear friction model. The proposed cooperative algorithms are formed from the bacterial foraging optimization (BFO) algorithm and the tabu search (TS). The paper reports the search comparison studies of the BFO, the TS, the genetic algorithm (GA), and the proposed metaheuristics. Search performances are assessed by using surface optimization problems. The proposed algorithms show superiority among them. A real-world identification problem of the Stribeck friction model parameters is presented. Experimental setup and results are elaborated.http://dx.doi.org/10.1155/2012/238563 |
| spellingShingle | Nuapett Sarasiri Kittiwong Suthamno Sarawut Sujitjorn Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model Journal of Applied Mathematics |
| title | Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model |
| title_full | Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model |
| title_fullStr | Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model |
| title_full_unstemmed | Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model |
| title_short | Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model |
| title_sort | bacterial foraging tabu search metaheuristics for identification of nonlinear friction model |
| url | http://dx.doi.org/10.1155/2012/238563 |
| work_keys_str_mv | AT nuapettsarasiri bacterialforagingtabusearchmetaheuristicsforidentificationofnonlinearfrictionmodel AT kittiwongsuthamno bacterialforagingtabusearchmetaheuristicsforidentificationofnonlinearfrictionmodel AT sarawutsujitjorn bacterialforagingtabusearchmetaheuristicsforidentificationofnonlinearfrictionmodel |