Abstract

The aim of this paper is to determine the optimal locations where Fish Aggregating Devices (F.A.D) or artificial traps must be placed in a given place of the sea and to preverse resources. Our work focuses on two parts: the first one is the study of static optimization problem with a functional taking into account the distance between the sites or F.A.D and the second one is devoted to solving an optimization problem with constraints expressed in classical model of fishery: Lagrange's method and Pontryagin's maximum principle the main mathematical tools to get characterization results of the location of artificial traps.

Highlights

  • Our work focuses on two parts: the first one is the study of static optimization problem with a functional taking into account the distance between the sites or F.A.D and the second one is devoted to solving an optimization problem with constraints expressed in classical model of fishery: Lagrange’s method and Pontryagin’s maximum principle the main mathematical tools to get characterization results of the location of artificial traps

  • In this paper one supposes to follow one type of fish in a given place to capture it by using artificial traps or Artificial Habitats called Fish Aggregating Devices (FADS) see for example (Moussaoui, 2011) and references therein for more details

  • To take into account the economic profitability and the preserving resource, we propose to study geometrical optimization problems linking these two concerns

Read more

Summary

A Location Problem of Obstacles in Population Dynamics

Sidy Ly1,2, Fulgence Mansal[1,2], Diaraf Seck1,2 & Moussa Balde[1,3 1] University Cheikh Anta Diop, Dakar, Senegal. 2 Laboratory Decision Mathematics and numerical Analysis 3 Laboratory of Geometry and Application. Sidy Ly1,2, Fulgence Mansal[1,2], Diaraf Seck1,2 & Moussa Balde[1,3 1] University Cheikh Anta Diop, Dakar, Senegal. 2 Laboratory Decision Mathematics and numerical Analysis 3 Laboratory of Geometry and Application. Received: April 6, 2016 Accepted: April 26, 2016 Online Published: August 1, 2016 doi:10.5539/jmr.v8n4p211

Introduction
Optimization without Constraints
Lagrange’s Method
Pointryagin’s Method
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.