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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| Summary: | 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. |
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| ISSN: | 1110-757X 1687-0042 |