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This final project discusses optimization in fishery. Fish population is assumed to grow according to logistic growth model. After the fishing starts, the population grows according to logistic model with harvesting. Its non trivial equilibrium solution is in fact a steady fish population for all of...

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Main Author: M. (NIM 10103016), EBENEZER
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/10290
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:10290
spelling id-itb.:102902017-09-27T11:43:07Z#TITLE_ALTERNATIVE# M. (NIM 10103016), EBENEZER Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10290 This final project discusses optimization in fishery. Fish population is assumed to grow according to logistic growth model. After the fishing starts, the population grows according to logistic model with harvesting. Its non trivial equilibrium solution is in fact a steady fish population for all of the future (this is sustainability). Continuity of solutions of the two models at t=s gives us the formula for s that indicates when the fishing starts. Next, we determine the number of fleet in order that maximizing the sustainable catch. The other two optimization problems use two different objective function, those are the total profit function and the profit per unit time. In each case the number of fleet can be determined in such a way that the corresponding objective function reaches a maximum. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This final project discusses optimization in fishery. Fish population is assumed to grow according to logistic growth model. After the fishing starts, the population grows according to logistic model with harvesting. Its non trivial equilibrium solution is in fact a steady fish population for all of the future (this is sustainability). Continuity of solutions of the two models at t=s gives us the formula for s that indicates when the fishing starts. Next, we determine the number of fleet in order that maximizing the sustainable catch. The other two optimization problems use two different objective function, those are the total profit function and the profit per unit time. In each case the number of fleet can be determined in such a way that the corresponding objective function reaches a maximum.
format Final Project
author M. (NIM 10103016), EBENEZER
spellingShingle M. (NIM 10103016), EBENEZER
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author_facet M. (NIM 10103016), EBENEZER
author_sort M. (NIM 10103016), EBENEZER
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10290
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