Food chain model with logistic growth and selective optimal harvesting under fuzzy environment

Q4 Mathematics
D. Sadhukhan
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引用次数: 0

Abstract

: A multispecies food chain harvesting model is formulated based on Lotka-Voltera model with three species which are affected not only by harvesting but also by the presence of prey, predator and the super predator. In order to understand the dynamics of the system, it is assumed that the all three species follows the logistic law of growth. Further, there is demand for prey predator species in the market and hence selective harvesting of two species is performed. We derive the condition for global stability of the system using a suitable Lyapunov function. The possibility of existence of bioeconomic equilibrium is discussed. The optimal harvest policy is studied and the solution is derived under imprecise inflation in fuzzy environment using Pontryagin’s maximal principle. Finally some numerical examples are discussed to illustrate the model.
模糊环境下具有物流增长和选择性最优收获的食物链模型
在Lotka-Voltera模型的基础上,建立了一个多物种食物链收获模型,其中三种物种不仅受收获的影响,而且受猎物、捕食者和超级捕食者的存在的影响。为了理解系统的动力学,我们假设这三个物种都遵循生长的逻辑律。此外,市场上存在对猎物捕食物种的需求,因此对两种物种进行选择性收获。利用合适的李雅普诺夫函数,导出了系统全局稳定的条件。讨论了生物经济平衡存在的可能性。利用庞特里亚金极大值原理,研究了模糊环境下不精确膨胀条件下的最优采收策略,并给出了其解。最后通过数值算例对模型进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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