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Lévy mutation in artificial bee colony algorithm for gasoline price prediction

In this paper, a mutation strategy that is based on Lévy Probabily Distribution is introduced in Artificial Bee Colony algorithm. The purpose is to better exploit promising solutions found by the bees.Such an approach is used to improve the performance of the original ABC in optimizing Least Square...

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Main Authors: Mustaffa, Zuriani, Yusof, Yuhanis
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/10963/1/CR180.pdf
http://repo.uum.edu.my/10963/
http://www.kmice.uum.edu.my
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spelling my.uum.repo.109632015-05-25T02:58:18Z http://repo.uum.edu.my/10963/ Lévy mutation in artificial bee colony algorithm for gasoline price prediction Mustaffa, Zuriani Yusof, Yuhanis QA76 Computer software In this paper, a mutation strategy that is based on Lévy Probabily Distribution is introduced in Artificial Bee Colony algorithm. The purpose is to better exploit promising solutions found by the bees.Such an approach is used to improve the performance of the original ABC in optimizing Least Squares Support Vector Machine hyper parameters.From the conducted experiment, the proposed lvABC shows encouraging results in optimizing parameters of interest.The proposed.lvABC-LSSVM has outperformed existing prediction model, Backpropogation Neural Network (BPNN), in predicting gasoline price. 2012-07-04 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/10963/1/CR180.pdf Mustaffa, Zuriani and Yusof, Yuhanis (2012) Lévy mutation in artificial bee colony algorithm for gasoline price prediction. In: Knowledge Management International Conference (KMICe) 2012, 4 – 6 July 2012, Johor Bahru, Malaysia. http://www.kmice.uum.edu.my
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
Mustaffa, Zuriani
Yusof, Yuhanis
Lévy mutation in artificial bee colony algorithm for gasoline price prediction
description In this paper, a mutation strategy that is based on Lévy Probabily Distribution is introduced in Artificial Bee Colony algorithm. The purpose is to better exploit promising solutions found by the bees.Such an approach is used to improve the performance of the original ABC in optimizing Least Squares Support Vector Machine hyper parameters.From the conducted experiment, the proposed lvABC shows encouraging results in optimizing parameters of interest.The proposed.lvABC-LSSVM has outperformed existing prediction model, Backpropogation Neural Network (BPNN), in predicting gasoline price.
format Conference or Workshop Item
author Mustaffa, Zuriani
Yusof, Yuhanis
author_facet Mustaffa, Zuriani
Yusof, Yuhanis
author_sort Mustaffa, Zuriani
title Lévy mutation in artificial bee colony algorithm for gasoline price prediction
title_short Lévy mutation in artificial bee colony algorithm for gasoline price prediction
title_full Lévy mutation in artificial bee colony algorithm for gasoline price prediction
title_fullStr Lévy mutation in artificial bee colony algorithm for gasoline price prediction
title_full_unstemmed Lévy mutation in artificial bee colony algorithm for gasoline price prediction
title_sort lévy mutation in artificial bee colony algorithm for gasoline price prediction
publishDate 2012
url http://repo.uum.edu.my/10963/1/CR180.pdf
http://repo.uum.edu.my/10963/
http://www.kmice.uum.edu.my
_version_ 1644280508572499968
score 13.149126

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