Optimal fishery management using dynamic optimization

Optimal fishery management using dynamic optimization

Dynamic Optimization (optimal control) involves the determination of optimal variable profiles and time invariant parameter values that optimize a performance criterion of an underlying differential-algebraic process model. In this project, Dynamic Optimization is applied to simplify mathematical mo...

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Main Author: Chik Man Liew, Hajar Azreen
Format: Thesis
Language:English
Published: 2008
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/18072/1/HajarAzreenChikMFS2008.pdf
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spelling my-utm-ep.180722018-10-14T07:23:46Z Optimal fishery management using dynamic optimization 2008 Chik Man Liew, Hajar Azreen QA Mathematics Dynamic Optimization (optimal control) involves the determination of optimal variable profiles and time invariant parameter values that optimize a performance criterion of an underlying differential-algebraic process model. In this project, Dynamic Optimization is applied to simplify mathematical model in fisheries. This is an attempt to produce a mathematically based solution on the globally perceived problem of decrease sea productivity as a result of overfishing and mismanagement of the fishing resources. Logistic Growth Model, Gordon Schaefer and Beverton Holt Model will ve discussed to give understanding in achieving the optimal management in fisheries. To overcome the overfishing and mismanagement problem, Faustmann Formula/Model has been derived and utilize to obtain the optimal rotation period in fisheries. The application of Faustmann Formula will be then presented graphically using MATLAB programming tools to achieve the result. From these findings, we can conclude that the optimal rotation period that we obtained can be adapted in the tropical sea such as Malaysia to overcome the overfishing problem. As a result, Dynamic Optimization generally are very useful to applied in optimal fisheries management. 2008 Thesis http://eprints.utm.my/id/eprint/18072/ http://eprints.utm.my/id/eprint/18072/1/HajarAzreenChikMFS2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA Mathematics
spellingShingle QA Mathematics
Chik Man Liew, Hajar Azreen
Optimal fishery management using dynamic optimization
description Dynamic Optimization (optimal control) involves the determination of optimal variable profiles and time invariant parameter values that optimize a performance criterion of an underlying differential-algebraic process model. In this project, Dynamic Optimization is applied to simplify mathematical model in fisheries. This is an attempt to produce a mathematically based solution on the globally perceived problem of decrease sea productivity as a result of overfishing and mismanagement of the fishing resources. Logistic Growth Model, Gordon Schaefer and Beverton Holt Model will ve discussed to give understanding in achieving the optimal management in fisheries. To overcome the overfishing and mismanagement problem, Faustmann Formula/Model has been derived and utilize to obtain the optimal rotation period in fisheries. The application of Faustmann Formula will be then presented graphically using MATLAB programming tools to achieve the result. From these findings, we can conclude that the optimal rotation period that we obtained can be adapted in the tropical sea such as Malaysia to overcome the overfishing problem. As a result, Dynamic Optimization generally are very useful to applied in optimal fisheries management.
format Thesis
qualification_level Master's degree
author Chik Man Liew, Hajar Azreen
author_facet Chik Man Liew, Hajar Azreen
author_sort Chik Man Liew, Hajar Azreen
title Optimal fishery management using dynamic optimization
title_short Optimal fishery management using dynamic optimization
title_full Optimal fishery management using dynamic optimization
title_fullStr Optimal fishery management using dynamic optimization
title_full_unstemmed Optimal fishery management using dynamic optimization
title_sort optimal fishery management using dynamic optimization
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2008
url http://eprints.utm.my/id/eprint/18072/1/HajarAzreenChikMFS2008.pdf
_version_ 1747815185907712000

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