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...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Hindawi
2017
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| Online Access: | https://eprints.nottingham.ac.uk/49722/ |
| _version_ | 1848798062076493824 |
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| author | Rahman, Rosshairy Abd. Kendall, Graham Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana |
| author_facet | Rahman, Rosshairy Abd. Kendall, Graham Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana |
| author_sort | Rahman, Rosshairy Abd. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| 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 semirandom 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. |
| first_indexed | 2025-11-14T20:13:47Z |
| format | Article |
| id | nottingham-49722 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:13:47Z |
| publishDate | 2017 |
| publisher | Hindawi |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-497222020-05-04T19:19:22Z https://eprints.nottingham.ac.uk/49722/ Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints Rahman, Rosshairy Abd. Kendall, Graham Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana 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 semirandom 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 2017-11-26 Article PeerReviewed Rahman, Rosshairy Abd., Kendall, Graham, Ramli, Razamin, Jamari, Zainoddin and Ku-Mahamud, Ku Ruhana (2017) Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints. Complexity, 2017 . p. 7053710. ISSN 1076-2787 https://www.hindawi.com/journals/complexity/2017/7053710/ doi:10.1155/2017/7053710 doi:10.1155/2017/7053710 |
| spellingShingle | Rahman, Rosshairy Abd. Kendall, Graham Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints |
| title | 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_short | 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 |
| url | https://eprints.nottingham.ac.uk/49722/ https://eprints.nottingham.ac.uk/49722/ https://eprints.nottingham.ac.uk/49722/ |