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: Zuriani, Mustaffa, M. H., Sulaiman, Yuhani, Yusof
Format: Article
Language:English
Published: Trans Tech Publication 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/1/An%20Application%20of%20Grey%20Wolf%20Optimizer%20for%20Commodity%20Price%20Forecasting.pdf
id ump-10364
recordtype eprints
spelling ump-103642018-05-18T01:02:49Z http://umpir.ump.edu.my/id/eprint/10364/ An Application of Grey Wolf Optimizer for Commodity Price Forecasting Zuriani, Mustaffa M. H., Sulaiman Yuhani, Yusof QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering 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 Publication 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10364/1/An%20Application%20of%20Grey%20Wolf%20Optimizer%20for%20Commodity%20Price%20Forecasting.pdf Zuriani, Mustaffa and M. H., Sulaiman and Yuhani, Yusof (2015) An Application of Grey Wolf Optimizer for Commodity Price Forecasting. Applied Mechanics and Materials, 785. pp. 473-478. ISSN 1662-7482 http://www.scientific.net/AMM.785.473 DOI: 10.4028/www.scientific.net/AMM.785.473
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
Zuriani, Mustaffa
M. H., Sulaiman
Yuhani, Yusof
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 Zuriani, Mustaffa
M. H., Sulaiman
Yuhani, Yusof
author_facet Zuriani, Mustaffa
M. H., Sulaiman
Yuhani, Yusof
author_sort Zuriani, Mustaffa
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 Publication
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/
http://umpir.ump.edu.my/id/eprint/10364/1/An%20Application%20of%20Grey%20Wolf%20Optimizer%20for%20Commodity%20Price%20Forecasting.pdf
first_indexed 2023-09-18T22:09:54Z
last_indexed 2023-09-18T22:09:54Z
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