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Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model
Joint Authors
Sujitjorn, Sarawut
Sarasiri, Nuapett
Suthamno, Kittiwong
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-13
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Sarasiri, Nuapett& Suthamno, Kittiwong& Sujitjorn, Sarawut. 2012. Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-993057
Modern Language Association (MLA)
Sarasiri, Nuapett…[et al.]. Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model. Journal of Applied Mathematics No. 2012 (2012), pp.1-23.
https://search.emarefa.net/detail/BIM-993057
American Medical Association (AMA)
Sarasiri, Nuapett& Suthamno, Kittiwong& Sujitjorn, Sarawut. Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-23.
https://search.emarefa.net/detail/BIM-993057
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993057