Title
Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling Constraints.
Abstract
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.
Year
DOI
Venue
2017
10.1155/2017/7053710
COMPLEXITY
Field
DocType
Volume
Small number,Mathematical optimization,Evolutionary algorithm,Heuristics,Operator (computer programming),Artificial intelligence,Initialization,Mathematics,Machine learning,Shrimp
Journal
2017
ISSN
Citations 
PageRank 
1076-2787
3
0.41
References 
Authors
9
5
Name
Order
Citations
PageRank
Rosshairy Abd Rahman140.78
Graham Kendall260735.33
Razamin Ramli352.81
Zainoddin Jamari430.41
Ku Ruhana Ku Mahamud5229.33