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Lévy mutation in artificial bee colony algorithm for gasoline price prediction


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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 9789832078661 Organized by: UUM College of Art & Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Artificial Bee Colony, Least Squares Support Vector Machines,Mutation, Levy Probability Distribution, Correlated Time Series.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Yuhanis Yusof
Date Deposited: 06 May 2014 08:44
Last Modified: 25 May 2015 02:58
URI: http://repo.uum.edu.my/id/eprint/10963

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