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Using the bees algorithm to optimise a support vector machine for wood defect classification

Pham, D.T and Muhammad, Zaidi and Mahmuddin, Massudi and Ghanbarzadeh, Afshin and Koc, Ebubekir and Otri, Sameh (2007) Using the bees algorithm to optimise a support vector machine for wood defect classification. In: Innovative Production Machines and Systems Virtual Conferences (IPROMS 2007), 2007, Cardiff, UK. (Unpublished)

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This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. The algorithm, which is a swarm-based algorithm inspired by the food foraging behavior of honey bees, was also employed to select the components making up the feature vectors to be presented to the SVM. The objective of the work was to find the best combination of SVM parameters and data features to maximize defect classification accuracy. The paper presents the results obtained to demonstrate the strengths of the Bees Algorithm as an optimization tool.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: bees algorithm, support vector machine, optimization
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Juwita Johari
Date Deposited: 06 Jul 2010 08:01
Last Modified: 06 Jul 2010 08:01
URI: http://repo.uum.edu.my/id/eprint/154

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