An Application of Grey Wolf Optimizer for Commodity Price Forecasting

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)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Grey Wolf Optimizer; Parameter Tuning; Price Forecasting
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 08 Dec 2015 04:57
Last Modified: 18 May 2018 01:02
URI: http://umpir.ump.edu.my/id/eprint/10364
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