A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation

Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment. Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price. However, the demand of grouper...

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Main Authors:	Soong, Cai Juan, Razamin, Ramli, Rosshairy, Abdul Rahman
Format:	Article
Language:	English
Published:	AIP Publishing 2016
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/1/A%20Standard%20Deviation%20Selection%20in%20Evolutionary%20Algorithm.pdf

id	intimal-670
recordtype	eprints
spelling	intimal-6702017-01-24T08:32:14Z http://eprints.intimal.edu.my/670/ A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation Soong, Cai Juan Razamin, Ramli Rosshairy, Abdul Rahman TA Engineering (General). Civil engineering (General) Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment. Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price. However, the demand of grouper fish is still insufficient from the wild catch. Therefore, there is a need to farm grouper fish to cater to the market demand. In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available. Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm. Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation. Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. The feasible and low fitness, quick solution can be obtained. These fitness can be further predicted to minimize cost in farming grouper fish. AIP Publishing 2016 Article PeerReviewed text en http://eprints.intimal.edu.my/670/1/A%20Standard%20Deviation%20Selection%20in%20Evolutionary%20Algorithm.pdf Soong, Cai Juan and Razamin, Ramli and Rosshairy, Abdul Rahman (2016) A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation. AIP Conference Proceedings, 1782 (1). ISSN 1551-7616 http://aip.scitation.org/doi/abs/10.1063/1.4966086 10.1063/1.4966086
repository_type	Digital Repository
institution_category	Local University
institution	INTI International University
building	INTI Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Soong, Cai Juan Razamin, Ramli Rosshairy, Abdul Rahman A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
description	Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment. Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price. However, the demand of grouper fish is still insufficient from the wild catch. Therefore, there is a need to farm grouper fish to cater to the market demand. In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available. Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm. Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation. Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable. The feasible and low fitness, quick solution can be obtained. These fitness can be further predicted to minimize cost in farming grouper fish.
format	Article
author	Soong, Cai Juan Razamin, Ramli Rosshairy, Abdul Rahman
author_facet	Soong, Cai Juan Razamin, Ramli Rosshairy, Abdul Rahman
author_sort	Soong, Cai Juan
title	A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
title_short	A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
title_full	A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
title_fullStr	A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
title_full_unstemmed	A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
title_sort	standard deviation selection in evolutionary algorithm for grouper fish feed formulation
publisher	AIP Publishing
publishDate	2016
url	http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/ http://eprints.intimal.edu.my/670/1/A%20Standard%20Deviation%20Selection%20in%20Evolutionary%20Algorithm.pdf
first_indexed	2018-09-05T09:10:56Z
last_indexed	2018-09-05T09:10:56Z
_version_	1610758128207396864

A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation

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