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

Lily Amelia, Dzuraidah Abd. Wahab, A. Hassan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume1
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Palm oil
Artificial intelligence
Genetic algorithms
Costs
Processing
Expert systems
Deterioration
Raw materials

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Amelia, L., Abd. Wahab, D., & Hassan, A. (2008). The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 1). [4631559] https://doi.org/10.1109/ITSIM.2008.4631559

The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. / Amelia, Lily; Abd. Wahab, Dzuraidah; Hassan, A.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 1 2008. 4631559.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Amelia, L, Abd. Wahab, D & Hassan, A 2008, The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 1, 4631559, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631559
Amelia L, Abd. Wahab D, Hassan A. The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 1. 2008. 4631559 https://doi.org/10.1109/ITSIM.2008.4631559
Amelia, Lily ; Abd. Wahab, Dzuraidah ; Hassan, A. / The application of hybrid artificial intelligence techniques in the optimisation of crude palm oil production. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 1 2008.
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