Evolutionary algorithm approach for solving animal diet formulation

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 a...

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Main Authors: Abd Rahman, Rosshairy, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/15567/1/PID032.pdf
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author Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_facet Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_sort Abd Rahman, Rosshairy
collection UUM
description 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.
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spelling uum-155672016-04-12T02:27:57Z https://repo.uum.edu.my/id/eprint/15567/ Evolutionary algorithm approach for solving animal diet formulation Abd Rahman, Rosshairy Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science 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. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/15567/1/PID032.pdf 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. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
spellingShingle QA75 Electronic computers. Computer science
Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
Evolutionary algorithm approach for solving animal diet formulation
title Evolutionary algorithm approach for solving animal diet formulation
title_full Evolutionary algorithm approach for solving animal diet formulation
title_fullStr Evolutionary algorithm approach for solving animal diet formulation
title_full_unstemmed Evolutionary algorithm approach for solving animal diet formulation
title_short Evolutionary algorithm approach for solving animal diet formulation
title_sort evolutionary algorithm approach for solving animal diet formulation
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/15567/1/PID032.pdf
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