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An application of grey wolf optimizer for commodity price forecasting

Over the recent decades, there are many nature inspired optimization algorithms have been introduced.In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting.The performance of GWO is compared against the results produced by Artificial Bee Colony (...

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Main Authors: Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Yusof, Yuhanis
Format: Article
Published: Trans Tech Publications Inc. 2015
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://repo.uum.edu.my/16490/
http://doi.org/10.4028/www.scientific.net/AMM.785.473
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spelling my.uum.repo.164902016-04-27T07:24:33Z http://repo.uum.edu.my/16490/ An application of grey wolf optimizer for commodity price forecasting Mustaffa, Zuriani Sulaiman, Mohd Herwan Yusof, Yuhanis TA Engineering (General). Civil engineering (General) Over the recent decades, there are many nature inspired optimization algorithms have been introduced.In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting.The performance of GWO is compared against the results produced by Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) algorithm. Measured based on Mean Absolute Percentage Error (MAPE) and prediction accuracy, the GWO is proven to produce significantly better results as compared to the identified algorithms. Trans Tech Publications Inc. 2015 Article PeerReviewed Mustaffa, Zuriani and Sulaiman, Mohd Herwan and Yusof, Yuhanis (2015) An application of grey wolf optimizer for commodity price forecasting. Applied Mechanics and Materials, 785. pp. 473-478. ISSN 1662-7482 http://doi.org/10.4028/www.scientific.net/AMM.785.473 doi:10.4028/www.scientific.net/AMM.785.473
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/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Mustaffa, Zuriani
Sulaiman, Mohd Herwan
Yusof, Yuhanis
An application of grey wolf optimizer for commodity price forecasting
description Over the recent decades, there are many nature inspired optimization algorithms have been introduced.In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting.The performance of GWO is compared against the results produced by Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) algorithm. Measured based on Mean Absolute Percentage Error (MAPE) and prediction accuracy, the GWO is proven to produce significantly better results as compared to the identified algorithms.
format Article
author Mustaffa, Zuriani
Sulaiman, Mohd Herwan
Yusof, Yuhanis
author_facet Mustaffa, Zuriani
Sulaiman, Mohd Herwan
Yusof, Yuhanis
author_sort Mustaffa, Zuriani
title An application of grey wolf optimizer for commodity price forecasting
title_short An application of grey wolf optimizer for commodity price forecasting
title_full An application of grey wolf optimizer for commodity price forecasting
title_fullStr An application of grey wolf optimizer for commodity price forecasting
title_full_unstemmed An application of grey wolf optimizer for commodity price forecasting
title_sort application of grey wolf optimizer for commodity price forecasting
publisher Trans Tech Publications Inc.
publishDate 2015
url http://repo.uum.edu.my/16490/
http://doi.org/10.4028/www.scientific.net/AMM.785.473
_version_ 1644281983014010880
score 13.160551

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