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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/7053710 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849413471647563776 |
|---|---|
| author | Rosshairy Abd. Rahman Graham Kendall Razamin Ramli Zainoddin Jamari Ku Ruhana Ku-Mahamud |
| author_facet | Rosshairy Abd. Rahman Graham Kendall Razamin Ramli Zainoddin Jamari Ku Ruhana Ku-Mahamud |
| author_sort | Rosshairy Abd. Rahman |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-69e6a0949f664a089381a1fdbf5630cc |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-69e6a0949f664a089381a1fdbf5630cc2025-08-20T03:34:05ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/70537107053710Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling ConstraintsRosshairy Abd. Rahman0Graham Kendall1Razamin Ramli2Zainoddin Jamari3Ku Ruhana Ku-Mahamud4Department of Decision Science, School of Quantitative Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, MalaysiaUniversity of Nottingham Malaysia Campus, Semenyih, MalaysiaDepartment of Decision Science, School of Quantitative Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, MalaysiaMariculture Research Centre, Bukit Malut, 07000 Langkawi, MalaysiaSchool of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah, MalaysiaFormulating 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.http://dx.doi.org/10.1155/2017/7053710 |
| spellingShingle | Rosshairy Abd. Rahman Graham Kendall Razamin Ramli Zainoddin Jamari Ku Ruhana Ku-Mahamud Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling Constraints Complexity |
| 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 | http://dx.doi.org/10.1155/2017/7053710 |
| work_keys_str_mv | AT rosshairyabdrahman shrimpfeedformulationviaevolutionaryalgorithmwithpowerheuristicsforhandlingconstraints AT grahamkendall shrimpfeedformulationviaevolutionaryalgorithmwithpowerheuristicsforhandlingconstraints AT razaminramli shrimpfeedformulationviaevolutionaryalgorithmwithpowerheuristicsforhandlingconstraints AT zainoddinjamari shrimpfeedformulationviaevolutionaryalgorithmwithpowerheuristicsforhandlingconstraints AT kuruhanakumahamud shrimpfeedformulationviaevolutionaryalgorithmwithpowerheuristicsforhandlingconstraints |