Optimal harvesting policy of a stochastic delay predator-prey model with Levy jumps

被引:0
|
作者
Deng, Meiling [1 ]
机构
[1] Huaiyin Normal Univ, Sch Math Sci, Huaian 223300, Peoples R China
来源
JOURNAL OF NONLINEAR SCIENCES AND APPLICATIONS | 2017年 / 10卷 / 08期
关键词
Predator-prey system; random perturbations; delay; optimal harvesting; POPULATION DYNAMICAL BEHAVIOR; RANDOM-ENVIRONMENTS; SYSTEMS; STABILITY; DESIGN; CHAOS;
D O I
10.22436/jnsa.010.08.17
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper considers the optimal harvesting of a stochastic delay predator-prey model with Levy jumps. The traditional optimal harvesting problem of this type of model is difficult because it is difficult to get the explicit solutions of the model or to solve the corresponding delay Fokker-Planck equation of the model. In this paper, we use an ergodic method to study this problem, and establish the sufficient and necessary conditions for the existence of an optimal harvesting strategy of the model. In addition, we gain the explicit forms of the optimal harvesting effort and the maximum of the cost function. One can see that the ergodic method used in this paper can avoid solving both the model and the corresponding delay Fokker-Planck equation. (C) 2017 All rights reserved.
引用
收藏
页码:4222 / 4230
页数:9
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