The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production

The production of crude palm oil and palm kernel are greatly influenced by factors such as deterioration of the raw material, processing inefficiency as well as environmental condition. An optimisation model for the palm oil production is therefore critical in ensuring maximum revenue in production...

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Main Authors:	., Lily Amelia, Wahab, Dzuraidah, Hassan, Azmi
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2008
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/1/04631559.pdf

id	iium-37306
recordtype	eprints
spelling	iium-373062014-07-11T04:11:05Z http://irep.iium.edu.my/37306/ The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production ., Lily Amelia Wahab, Dzuraidah Hassan, Azmi QA76 Computer software T Technology (General) The production of crude palm oil and palm kernel are greatly influenced by factors such as deterioration of the raw material, processing inefficiency as well as environmental condition. An optimisation model for the palm oil production is therefore critical in ensuring maximum revenue in production whilst minimising palm oil and palm kernel losses and production cost. The proposed optimisation model is an integration between fuzzy expert system and multi objective programming model. Four fuzzy expert models were developed for each processing station with the aim of achieving four objectives, ie. to maximise revenue, minimise total production costs as well as minimise the total amount of palm oil and palm kernel losses. Two heuristic optimisation methods, ie. Genetic Algorithm (GA) and Direct Random Search are applied to solve this problem. The model is able to optimise the revenue, production cost as well as the total amount of palm oil and palm kernel losses. The study has also shown that Genetic Algorithm results in more optimum solutions compared to the Direct Random Search method IEEE 2008-08-26 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/37306/1/04631559.pdf ., Lily Amelia and Wahab, Dzuraidah and Hassan, Azmi (2008) The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. In: International Symposium on Information Technology 2008 (ITSim), Vol.1, 26-28 Aug. 2008, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4631559 DOI: 10.1109/ITSIM.2008.4631559
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software T Technology (General)
spellingShingle	QA76 Computer software T Technology (General) ., Lily Amelia Wahab, Dzuraidah Hassan, Azmi The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
description	The production of crude palm oil and palm kernel are greatly influenced by factors such as deterioration of the raw material, processing inefficiency as well as environmental condition. An optimisation model for the palm oil production is therefore critical in ensuring maximum revenue in production whilst minimising palm oil and palm kernel losses and production cost. The proposed optimisation model is an integration between fuzzy expert system and multi objective programming model. Four fuzzy expert models were developed for each processing station with the aim of achieving four objectives, ie. to maximise revenue, minimise total production costs as well as minimise the total amount of palm oil and palm kernel losses. Two heuristic optimisation methods, ie. Genetic Algorithm (GA) and Direct Random Search are applied to solve this problem. The model is able to optimise the revenue, production cost as well as the total amount of palm oil and palm kernel losses. The study has also shown that Genetic Algorithm results in more optimum solutions compared to the Direct Random Search method
format	Conference or Workshop Item
author	., Lily Amelia Wahab, Dzuraidah Hassan, Azmi
author_facet	., Lily Amelia Wahab, Dzuraidah Hassan, Azmi
author_sort	., Lily Amelia
title	The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
title_short	The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
title_full	The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
title_fullStr	The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
title_full_unstemmed	The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
title_sort	application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production
publisher	IEEE
publishDate	2008
url	http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/ http://irep.iium.edu.my/37306/1/04631559.pdf
first_indexed	2023-09-18T20:53:31Z
last_indexed	2023-09-18T20:53:31Z
_version_	1777410151886618624

The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production

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