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

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...

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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
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id my.uum.repo.154
record_format eprints
spelling my.uum.repo.1542010-07-06T08:01:37Z http://repo.uum.edu.my/154/ Using the bees algorithm to optimise a support vector machine for wood defect classification Pham, D.T Muhammad, Zaidi Mahmuddin, Massudi Ghanbarzadeh, Afshin Koc, Ebubekir Otri, Sameh QA76 Computer software 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. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://repo.uum.edu.my/154/1/using_the_bees_algorithm.pdf 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 (Unpublished) http://www.bees-algorithm.com/modules/2/0.php
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Pham, D.T
Muhammad, Zaidi
Mahmuddin, Massudi
Ghanbarzadeh, Afshin
Koc, Ebubekir
Otri, Sameh
Using the bees algorithm to optimise a support vector machine for wood defect classification
description 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.
format Conference or Workshop Item
author Pham, D.T
Muhammad, Zaidi
Mahmuddin, Massudi
Ghanbarzadeh, Afshin
Koc, Ebubekir
Otri, Sameh
author_facet Pham, D.T
Muhammad, Zaidi
Mahmuddin, Massudi
Ghanbarzadeh, Afshin
Koc, Ebubekir
Otri, Sameh
author_sort Pham, D.T
title Using the bees algorithm to optimise a support vector machine for wood defect classification
title_short Using the bees algorithm to optimise a support vector machine for wood defect classification
title_full Using the bees algorithm to optimise a support vector machine for wood defect classification
title_fullStr Using the bees algorithm to optimise a support vector machine for wood defect classification
title_full_unstemmed Using the bees algorithm to optimise a support vector machine for wood defect classification
title_sort using the bees algorithm to optimise a support vector machine for wood defect classification
publishDate 2007
url 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
_version_ 1644277724923035648
score 13.18916

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