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 (...
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | مقال |
| منشور في: |
Trans Tech Publications Inc.
2015
|
| الموضوعات: |
| _version_ | 1825803715324411904 |
|---|---|
| author | Mustaffa, Zuriani Sulaiman, Mohd Herwan Yusof, Yuhanis |
| author_facet | Mustaffa, Zuriani Sulaiman, Mohd Herwan Yusof, Yuhanis |
| author_sort | Mustaffa, Zuriani |
| collection | UUM |
| 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. |
| first_indexed | 2024-07-04T06:02:12Z |
| format | Article |
| id | uum-16490 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T06:02:12Z |
| publishDate | 2015 |
| publisher | Trans Tech Publications Inc. |
| record_format | eprints |
| spelling | uum-164902016-04-27T07:24:33Z https://repo.uum.edu.my/id/eprint/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 doi:10.4028/www.scientific.net/AMM.785.473 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Mustaffa, Zuriani Sulaiman, Mohd Herwan Yusof, Yuhanis An application of grey wolf optimizer for commodity price forecasting |
| title | 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_short | An application of grey wolf optimizer for commodity price forecasting |
| title_sort | application of grey wolf optimizer for commodity price forecasting |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT mustaffazuriani anapplicationofgreywolfoptimizerforcommoditypriceforecasting AT sulaimanmohdherwan anapplicationofgreywolfoptimizerforcommoditypriceforecasting AT yusofyuhanis anapplicationofgreywolfoptimizerforcommoditypriceforecasting AT mustaffazuriani applicationofgreywolfoptimizerforcommoditypriceforecasting AT sulaimanmohdherwan applicationofgreywolfoptimizerforcommoditypriceforecasting AT yusofyuhanis applicationofgreywolfoptimizerforcommoditypriceforecasting |