数学优化
马尔可夫链
消光(光学矿物学)
理论(学习稳定性)
浮游动物
计算机科学
浮游植物
布朗运动
控制理论(社会学)
数学
应用数学
环境科学
生态学
统计
生物
人工智能
古生物学
控制(管理)
机器学习
营养物
作者
Yuanpei Xia,Weisong Zhou,Zhichun Yang
摘要
In this paper, we formulate a phytoplankton-zooplankton-fish model with distributed delays and hybrid stochastic noises involving Brownian motion and Markov chain, and propose an optimal harvesting problem pursuing the maximum of total economic income. By global analysis in terms of some system parameters, we investigate the dynamical behaviors on the well-posedness, bounded- ness, persistence, extinction, stability and attractiveness of the solutions for the stochastic delayed system. Moreover, we provide sufficient and necessary condition ensuring the existence of the optimization solution for the optimization problem and obtain the optimal harvesting effect and the maximum of sustainable yield. Lastly, two numerical examples and their simulations are given to illustrate the effectiveness of our results.
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