МОДЕЛЬ УПРАВЛЕНИЯ ПРОЦЕССОМ РЫБНОЙ ЛОВЛИ
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

THE MODEL OF FISHERIES MANAGEMENT

Andreeva E.A.   Tsiruleva V.M.   Kozheko L.G.  

UDC 519.977.5
DOI:

  • Abstract
  • List of references
  • About authors

At the present stage of development of science, technology and economics, much attention is paid to the development of the mathematical theory of optimal control, since it combines fundamental mathematical developments with actual applied problems. One of such urgent tasks is the conservation and use of natural resources [1]. The aim of the work is to build a mathematical model for fisheries management and to determine the optimal control of this process. The model takes into account the factor of natural birth rate, mortality and other parameters. With the advent of new information, the model is improved and supplemented by new conditions, constraints on the parameters of the problem [2], [3], [4]. The fisheries management is carried out by monitoring the intensity of capture. The goal of management is to maximize profits and preserve the population at a given level [5], [6]. The paper considers a continuous model that takes into account the size (weight) of the population, so that the entire fish population is divided into three age classes, differing in weight and size. In addition, the restriction on market demand is taken into account. The model of fisheries management allows to maximize profit from sale of the catch and to keep a level of a population necessary for the further development. To obtain optimality conditions in the continuous model, the Pontryagin Maximum Principle [5], [7] is used, and in the discrete model approximating the continuous one, the method of rapid automatic differentiation and numerical methods for solving extremal problems [5], [7] are used

1. Smith J. Models of ecology. – M. Mir, 1976. – 184 p.

2. Bratus' F.S, Novozhilov A.S, Platonov A.N. Dynamic systems and models in biology. – Moscow: Phys. mat. lit., 2010. – 400 p.

3. Melnikov V.N., Melnikov A.V. System studies in the theory of industrial fisheries, aquaculture and ecology // Vestnik ASTU, series "Fish farming", 2010. – No. 1. – pp. 32–41.

4. Riznichenko G.Yu. Mathematical models in biophysics and ecology. – Izhevsk: Institute for Computer Research, 2003. – 184 p

5. Andreeva E.A, Tsiruleva V.M. Optimal control over the spread of the epidemic // Application of functional analysis in approximation theory. – Tver: TSU, 1997. – pp. 5–20.

6. Bazykin A.D. Nonlinear dynamics of interacting populations. – Izhevsk: Institute for Computer Research, 2003. – 368 p.

7. Yevtushenko Yu.G. Methods for solving extremal problems and their application in optimization systems. – M .: 1982. – 432 p.

8. Svirezhev Yu.M., Logofet D.O. Stability of biological communities. – Moscow: Nauka, 1978. – 352 p.

9. Cushing J.M. An Introduction to structured population dynamic. – SIAM, 1998. – 193 p.

10. Andreeva E.A, Evtushenko Yu.G. Numerical methods for solving optimal control problems for systems described by integro-differential equations of Fredholm type // Models and optimization methods. – 1989. – No. 1. – pp. 4 – 13.

Andreeva Elena Arkadievna
doctor of Physical and Mathematical Sciences, Professor
Email: andreeva.tvgu@yandex.ru

Tver State University

Tver, Russian Federation

Tsiruleva Valentina Mikhailovna
Candidate of Physical and Mathematical Sciences, Associate Professor
Email: vtsiruljova@mail.ru

Tver State University

Tver, Russian Federation

Kozheko Lyudmila Georgievna
Candidate of Physical and Mathematical Sciences, Associate Professor
Email: kocheko@mail.ru

Tver State University

Tver, Russian Federation

Keywords: optimal control, fishing, structured age population, mathematical model, equilibrium state, pontryagin maximum principle, discrete optimal control problem

For citation: Andreeva E.A. Tsiruleva V.M. Kozheko L.G. THE MODEL OF FISHERIES MANAGEMENT. Modeling, Optimization and Information Technology. 2017;5(4). Available from: https://moit.vivt.ru/wp-content/uploads/2017/10/AndreevaZirulevaKozheko_4_1_17.pdf DOI: (In Russ).

582

Full text in PDF