Group method of data handling with artificial bee colony in combining forecasts

In this study, the use of Artificial Bee Colony (ABC) algorithm to combine several time series forecasts is presented. This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. The weights for each individual model are cal...

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Main Authors: Yahya, Nurhaziyatul Adawiyah, Samsudin, Ruhaidah, Darmawan, Irfan, Kasim, Shahreen
Format: Article
Language:English
Published: Penerbit UTHM 2018
Subjects:
Online Access:http://eprints.uthm.edu.my/3640/
http://eprints.uthm.edu.my/3640/1/AJ%202018%20%28705%29%20Group%20method%20of%20data%20handling%20with%20artificial%20bee%20colony%20in%20combining%20forecasts.pdf
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author Yahya, Nurhaziyatul Adawiyah
Samsudin, Ruhaidah
Darmawan, Irfan
Kasim, Shahreen
author_facet Yahya, Nurhaziyatul Adawiyah
Samsudin, Ruhaidah
Darmawan, Irfan
Kasim, Shahreen
author_sort Yahya, Nurhaziyatul Adawiyah
building UTHM Institutional Repository
collection Online Access
description In this study, the use of Artificial Bee Colony (ABC) algorithm to combine several time series forecasts is presented. This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. The weights for each individual model are calculated using ABC algorithm. In order to evaluate the proposed model, this study tested the proposed model on the International Airline Passengers data, and the performances are calculated using mean square error (MSE), mean average error (MAE) and mean average percentage error (MAPE). The accuracy of the proposed model is compared to the individual models and the models implemented in previous literatures. The results revealed that the proposed model produced significantly accurate forecasts.
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institution Universiti Tun Hussein Onn Malaysia
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spelling uthm-36402021-11-21T04:28:26Z http://eprints.uthm.edu.my/3640/ Group method of data handling with artificial bee colony in combining forecasts Yahya, Nurhaziyatul Adawiyah Samsudin, Ruhaidah Darmawan, Irfan Kasim, Shahreen QA76 Computer software In this study, the use of Artificial Bee Colony (ABC) algorithm to combine several time series forecasts is presented. This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. The weights for each individual model are calculated using ABC algorithm. In order to evaluate the proposed model, this study tested the proposed model on the International Airline Passengers data, and the performances are calculated using mean square error (MSE), mean average error (MAE) and mean average percentage error (MAPE). The accuracy of the proposed model is compared to the individual models and the models implemented in previous literatures. The results revealed that the proposed model produced significantly accurate forecasts. Penerbit UTHM 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/3640/1/AJ%202018%20%28705%29%20Group%20method%20of%20data%20handling%20with%20artificial%20bee%20colony%20in%20combining%20forecasts.pdf Yahya, Nurhaziyatul Adawiyah and Samsudin, Ruhaidah and Darmawan, Irfan and Kasim, Shahreen (2018) Group method of data handling with artificial bee colony in combining forecasts. International Journal of Integrated Engineering, 10 (6). pp. 31-36. ISSN 2229-838X
spellingShingle QA76 Computer software
Yahya, Nurhaziyatul Adawiyah
Samsudin, Ruhaidah
Darmawan, Irfan
Kasim, Shahreen
Group method of data handling with artificial bee colony in combining forecasts
title Group method of data handling with artificial bee colony in combining forecasts
title_full Group method of data handling with artificial bee colony in combining forecasts
title_fullStr Group method of data handling with artificial bee colony in combining forecasts
title_full_unstemmed Group method of data handling with artificial bee colony in combining forecasts
title_short Group method of data handling with artificial bee colony in combining forecasts
title_sort group method of data handling with artificial bee colony in combining forecasts
topic QA76 Computer software
url http://eprints.uthm.edu.my/3640/
http://eprints.uthm.edu.my/3640/1/AJ%202018%20%28705%29%20Group%20method%20of%20data%20handling%20with%20artificial%20bee%20colony%20in%20combining%20forecasts.pdf