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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| Format: | Article |
| Language: | English |
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Trans Tech Publication
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/10364/1/An%20Application%20of%20Grey%20Wolf%20Optimizer%20for%20Commodity%20Price%20Forecasting.pdf |
| _version_ | 1825822443407671296 |
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| author | Zuriani, Mustaffa M. H., Sulaiman Yuhani, Yusof |
| author_facet | Zuriani, Mustaffa M. H., Sulaiman Yuhani, Yusof |
| author_sort | Zuriani, Mustaffa |
| collection | UMP |
| 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 | 2024-03-06T11:56:39Z |
| format | Article |
| id | UMPir10364 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:56:39Z |
| publishDate | 2015 |
| publisher | Trans Tech Publication |
| record_format | dspace |
| spelling | UMPir103642018-05-18T01:02:49Z 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. (Published) http://www.scientific.net/AMM.785.473 DOI: 10.4028/www.scientific.net/AMM.785.473 |
| 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 |
| 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 | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/10364/1/An%20Application%20of%20Grey%20Wolf%20Optimizer%20for%20Commodity%20Price%20Forecasting.pdf |
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