Optimal harvesting strategy based on rearrangements of functions

We study the problem of optimal harvesting of a marine species in a bounded domain, with the aim of minimizing harm to the species, under the general assumption that the fishing boats have different capacities. This is a generalization of a result of Kurata and Shi, in which the boats were assumed t...

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Main Authors: Emamizadeh, Behrouz, Farjudian, Amin, Liu, Yichen
Format: Article
Language:English
Published: Elsevier 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/56208/
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author Emamizadeh, Behrouz
Farjudian, Amin
Liu, Yichen
author_facet Emamizadeh, Behrouz
Farjudian, Amin
Liu, Yichen
author_sort Emamizadeh, Behrouz
building Nottingham Research Data Repository
collection Online Access
description We study the problem of optimal harvesting of a marine species in a bounded domain, with the aim of minimizing harm to the species, under the general assumption that the fishing boats have different capacities. This is a generalization of a result of Kurata and Shi, in which the boats were assumed to have the same maximum harvesting capacity. For this generalization, we need a completely different approach. As such, we use the theory of rearrangements of functions. We prove existence of solutions, and obtain an optimality condition which indicates that the more aggressive harvesting must be pushed toward the boundary of the domain. Furthermore, we prove that radial and Steiner symmetries of the domain are preserved by the solutions. We will also devise an algorithm for numerical solution of the problem, and present the results of some numerical experiments.
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spelling nottingham-562082019-11-05T04:30:12Z https://eprints.nottingham.ac.uk/56208/ Optimal harvesting strategy based on rearrangements of functions Emamizadeh, Behrouz Farjudian, Amin Liu, Yichen We study the problem of optimal harvesting of a marine species in a bounded domain, with the aim of minimizing harm to the species, under the general assumption that the fishing boats have different capacities. This is a generalization of a result of Kurata and Shi, in which the boats were assumed to have the same maximum harvesting capacity. For this generalization, we need a completely different approach. As such, we use the theory of rearrangements of functions. We prove existence of solutions, and obtain an optimality condition which indicates that the more aggressive harvesting must be pushed toward the boundary of the domain. Furthermore, we prove that radial and Steiner symmetries of the domain are preserved by the solutions. We will also devise an algorithm for numerical solution of the problem, and present the results of some numerical experiments. Elsevier 2018-03-01 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/56208/1/2018-Emamizadeh_Farjudian_Liu-Harvesting_Strategy_ROP.pdf Emamizadeh, Behrouz, Farjudian, Amin and Liu, Yichen (2018) Optimal harvesting strategy based on rearrangements of functions. Applied Mathematics and Computation, 320 . pp. 677-690. ISSN 0096-3003 Population biology; Rearrangements of functions; Reaction-diffusion; Optimization; Symmetry http://dx.doi.org/10.1016/j.amc.2017.10.006 doi:10.1016/j.amc.2017.10.006 doi:10.1016/j.amc.2017.10.006
spellingShingle Population biology; Rearrangements of functions; Reaction-diffusion; Optimization; Symmetry
Emamizadeh, Behrouz
Farjudian, Amin
Liu, Yichen
Optimal harvesting strategy based on rearrangements of functions
title Optimal harvesting strategy based on rearrangements of functions
title_full Optimal harvesting strategy based on rearrangements of functions
title_fullStr Optimal harvesting strategy based on rearrangements of functions
title_full_unstemmed Optimal harvesting strategy based on rearrangements of functions
title_short Optimal harvesting strategy based on rearrangements of functions
title_sort optimal harvesting strategy based on rearrangements of functions
topic Population biology; Rearrangements of functions; Reaction-diffusion; Optimization; Symmetry
url https://eprints.nottingham.ac.uk/56208/
https://eprints.nottingham.ac.uk/56208/
https://eprints.nottingham.ac.uk/56208/