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

• Main Authors: Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh
• Format: Conference or Workshop Item
• Language: English
• Published: 2007
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/154/1/using_the_bees_algorithm.pdf; http://repo.uum.edu.my/154/; http://www.bees-algorithm.com/modules/2/0.php

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 th...