Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation

Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation

The aquaculture farming industry is one of the most important industries in Malaysia since it generates income to economic growth and produces main source of food for the nation. One of the pillars in aquaculture farming industries is formulation of food for the animal, which is also known as feed m...

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Main Author: Rosshairy, Abd Rahman
Format: Thesis
Language:eng
eng
Published: 2014
Subjects:
QA Mathematics
Online Access:https://etd.uum.edu.my/4416/1/s92166.pdf
https://etd.uum.edu.my/4416/7/s92166_abstract.pdf
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institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Ramli, Razamin
topic QA Mathematics
spellingShingle QA Mathematics
Rosshairy, Abd Rahman
Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
description The aquaculture farming industry is one of the most important industries in Malaysia since it generates income to economic growth and produces main source of food for the nation. One of the pillars in aquaculture farming industries is formulation of food for the animal, which is also known as feed mix or diet formulation. However, the feed component in the aquaculture industry incurs the most expensive operational cost, and has drawn many studies regarding diet formulation. The lack of studies involving modelling approaches had motivated to embark on diet formulation, which searches for the best combination of feed ingredients while satisfying nutritional requirements at a minimum cost. Hence, this thesis investigates a potential approach of Evolutionary Algorithm (EA) to propose a diet formulation solution for aquaculture farming, specifically the shrimp. In order to obtain a good combination of ingredients in the feed, a filtering heuristics known as Power Heuristics was introduced in the initialization stage of the EA methodology. This methodology was capableof filtering certain unwanted ingredients which could lead to potential poor solutions. The success of the proposed EA also relies on a new selection and crossover operators that have improved the overall performance of the solutions. Hence, three main EA model variants were constructed with new initialization mechanism, diverse selection and crossover operators, whereby the proposed EAPH-RWS-Avg Model emerged as the most effective in producing a good solution with the minimum penalty value. The newly proposed model is efficient and able to adapt to changes in the parameters, thus assists relevant users in managing the shrimp diet formulation issues, especially using local ingredients. Moreover, this diet formulation strategy provides user preference elements to choose from a range of preferred ingredients and the preferred total ingredient weights.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Rosshairy, Abd Rahman
author_facet Rosshairy, Abd Rahman
author_sort Rosshairy, Abd Rahman
title Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
title_short Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
title_full Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
title_fullStr Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
title_full_unstemmed Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
title_sort evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2014
url https://etd.uum.edu.my/4416/1/s92166.pdf
https://etd.uum.edu.my/4416/7/s92166_abstract.pdf
_version_ 1776103643066400768
spelling my-uum-etd.44162023-01-11T04:58:53Z Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation 2014 Rosshairy, Abd Rahman Ramli, Razamin Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA Mathematics The aquaculture farming industry is one of the most important industries in Malaysia since it generates income to economic growth and produces main source of food for the nation. One of the pillars in aquaculture farming industries is formulation of food for the animal, which is also known as feed mix or diet formulation. However, the feed component in the aquaculture industry incurs the most expensive operational cost, and has drawn many studies regarding diet formulation. The lack of studies involving modelling approaches had motivated to embark on diet formulation, which searches for the best combination of feed ingredients while satisfying nutritional requirements at a minimum cost. Hence, this thesis investigates a potential approach of Evolutionary Algorithm (EA) to propose a diet formulation solution for aquaculture farming, specifically the shrimp. In order to obtain a good combination of ingredients in the feed, a filtering heuristics known as Power Heuristics was introduced in the initialization stage of the EA methodology. This methodology was capableof filtering certain unwanted ingredients which could lead to potential poor solutions. The success of the proposed EA also relies on a new selection and crossover operators that have improved the overall performance of the solutions. Hence, three main EA model variants were constructed with new initialization mechanism, diverse selection and crossover operators, whereby the proposed EAPH-RWS-Avg Model emerged as the most effective in producing a good solution with the minimum penalty value. The newly proposed model is efficient and able to adapt to changes in the parameters, thus assists relevant users in managing the shrimp diet formulation issues, especially using local ingredients. Moreover, this diet formulation strategy provides user preference elements to choose from a range of preferred ingredients and the preferred total ingredient weights. 2014 Thesis https://etd.uum.edu.my/4416/ https://etd.uum.edu.my/4416/1/s92166.pdf text eng public https://etd.uum.edu.my/4416/7/s92166_abstract.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abu Hassan, I., Hanafi, H.H., Che Musa, C.U., Pathmasothy, S. (1988, 25-29 October). Status of shrimp and finfish feeds in Malaysia. 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