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2017 Optimization of the Two Fishermen’s Profits Exploiting Three Competing Species Where Prices Depend on Harvest
Imane Agmour, Meriem Bentounsi, Naceur Achtaich, Youssef El Foutayeni
Int. J. Differ. Equ. 2017: 1-17 (2017). DOI: 10.1155/2017/3157294

Abstract

Bioeconomic modeling of the exploitation of biological resources such as fisheries has gained importance in recent years. In this work we propose to define and study a bioeconomic equilibrium model for two fishermen who catch three species taking into consideration the fact that the prices of fish populations vary according to the quantity harvested; these species compete with each other for space or food; the natural growth of each species is modeled using a logistic law. The main purpose of this work is to define the fishing effort that maximizes the profit of each fisherman, but all of them have to respect two constraints: the first one is the sustainable management of the resources and the second one is the preservation of the biodiversity. The existence of the steady states and their stability are studied using eigenvalue analysis. The problem of determining the equilibrium point that maximizes the profit of each fisherman leads to Nash equilibrium problem; to solve this problem we transform it into a linear complementarity problem (LCP); then we prove that the obtained problem (LCP) admits a unique solution that represents the Nash equilibrium point of our problem. We close our paper with some numerical simulations.

Citation

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Imane Agmour. Meriem Bentounsi. Naceur Achtaich. Youssef El Foutayeni. "Optimization of the Two Fishermen’s Profits Exploiting Three Competing Species Where Prices Depend on Harvest." Int. J. Differ. Equ. 2017 1 - 17, 2017. https://doi.org/10.1155/2017/3157294

Information

Received: 21 August 2017; Accepted: 13 November 2017; Published: 2017
First available in Project Euclid: 9 January 2018

zbMATH: 06915932
MathSciNet: MR3743336
Digital Object Identifier: 10.1155/2017/3157294

Rights: Copyright © 2017 Hindawi

Vol.2017 • 2017
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