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Evolutionary algorithm approach for solving animal diet formulation


Abd Rahman, Rosshairy and Ramli, Razamin and Jamari, Zainoddin and Ku-Mahamud, Ku Ruhana (2015) Evolutionary algorithm approach for solving animal diet formulation. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

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Abstract

One of the pillars in animal farming industries is formulation of food for the animal, which is also known as diet formulation.However, the feed component in the aquaculture industry incurs the most expensive operational cost, and has drawn many studies regarding diet formulation.Hence, this study aims to solve animal diet formulation problem with ratio constraint using evolutionary algorithm approach.Actual data with 14 ingredients and 18 nutrients were taken into consideration.The result shows that evolutionary algorithm provides feasible solution in all runs. Experimentation on what-if scenario has proven that this evolutionary model is robust as it can adopt to changes in the parameter.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN No: 978-967-0910-02-4 organized by: Universiti Utara Malaysia & Istanbul Zaim University
Uncontrolled Keywords: genetic algorithm, animal diet formulation, feed mix
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Dr. Rosshairy Abdul Rahman
Date Deposited: 01 Oct 2015 01:41
Last Modified: 12 Apr 2016 02:27
URI: http://repo.uum.edu.my/id/eprint/15567

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