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Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints

Formulating feed for shrimps represents a challenge to farmers and industry partners. Most previous studies selected from only a small number of ingredients due to cost pressures, even though hundreds of potential ingredients could be used in the shrimp feed mix. Even with a limited number of ingred...

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Main Authors: Abd Rahman, Rosshairy, Kendall, Graham, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana
Format: Article
Language:English
Published: Hindawi Limited 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/26040/1/C%202017%201%2012.pdf
http://repo.uum.edu.my/26040/
http://doi.org/10.1155/2017/7053710
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spelling my.uum.repo.260402019-05-14T06:11:45Z http://repo.uum.edu.my/26040/ Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints Abd Rahman, Rosshairy Kendall, Graham Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science Formulating feed for shrimps represents a challenge to farmers and industry partners. Most previous studies selected from only a small number of ingredients due to cost pressures, even though hundreds of potential ingredients could be used in the shrimp feed mix. Even with a limited number of ingredients, the best combination of the most appropriate ingredients is still difficult to obtain due to various constraint requirements, such as nutrition value and cost. This paper proposes a new operator which we call Power Heuristics, as part of an Evolutionary Algorithm (EA), which acts as a constraint handling technique for the shrimp feed or diet formulation. The operator is able to choose and discard certain ingredients by utilising a specialized search mechanism. The aim is to achieve the most appropriate combination of ingredients. Power Heuristics are embedded in the EA at the early stage of a semi random initialization procedure. The resulting combination of ingredients, after fulfilling all the necessary constraints, shows that this operator is useful in discarding inappropriate ingredients when a crucial constraint is violated. Hindawi Limited 2017 Article PeerReviewed application/pdf en http://repo.uum.edu.my/26040/1/C%202017%201%2012.pdf Abd Rahman, Rosshairy and Kendall, Graham and Ramli, Razamin and Jamari, Zainoddin and Ku-Mahamud, Ku Ruhana (2017) Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints. Complexity, 2017. pp. 1-12. ISSN 1076-2787 http://doi.org/10.1155/2017/7053710 doi:10.1155/2017/7053710
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abd Rahman, Rosshairy
Kendall, Graham
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
description Formulating feed for shrimps represents a challenge to farmers and industry partners. Most previous studies selected from only a small number of ingredients due to cost pressures, even though hundreds of potential ingredients could be used in the shrimp feed mix. Even with a limited number of ingredients, the best combination of the most appropriate ingredients is still difficult to obtain due to various constraint requirements, such as nutrition value and cost. This paper proposes a new operator which we call Power Heuristics, as part of an Evolutionary Algorithm (EA), which acts as a constraint handling technique for the shrimp feed or diet formulation. The operator is able to choose and discard certain ingredients by utilising a specialized search mechanism. The aim is to achieve the most appropriate combination of ingredients. Power Heuristics are embedded in the EA at the early stage of a semi random initialization procedure. The resulting combination of ingredients, after fulfilling all the necessary constraints, shows that this operator is useful in discarding inappropriate ingredients when a crucial constraint is violated.
format Article
author Abd Rahman, Rosshairy
Kendall, Graham
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_facet Abd Rahman, Rosshairy
Kendall, Graham
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_sort Abd Rahman, Rosshairy
title Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
title_short Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
title_full Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
title_fullStr Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
title_full_unstemmed Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
title_sort shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
publisher Hindawi Limited
publishDate 2017
url http://repo.uum.edu.my/26040/1/C%202017%201%2012.pdf
http://repo.uum.edu.my/26040/
http://doi.org/10.1155/2017/7053710
_version_ 1644284489467166720
score 13.211869

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