基于智能优化算法的渔业资源管理模型的优化脉冲控制研究
Research on Optimal Impulse Control of Fishery Resource Management Model Based on Intelligent Optimization Algorithm
摘要: 本文建立了一类渔业脉冲捕捞控制模型。考虑模型会发生更符合现实情况的多次脉冲捕捞情况，引入使得鱼群可持续发展的循环指标为优化目标，将智能优化算法与渔业捕捞脉冲控制模型相结合，利用不同优化算法对模型进行优化分析，得出了对模型适应度最高的算法。最后通过数值模拟，得出了在不同脉冲次数下的最优脉冲控制策略。
Abstract: In this paper, we develop a model of impulse catch control in a fishery. Considering that the model will have multiple pulse fishing more in line with the reality, the cycle index that makes the sustainable development of fish stocks is introduced as the optimization goal, the intelligent optimization algorithm is combined with the fishery capture pulse control model, and different optimization algorithms are used to optimize and analyze the model, and the algorithm with the highest fitness for the model is obtained. Finally, through numerical simulation, the optimal pulse control strategy under different pulse times is obtained.
文章引用：谢逸轩, 张蒙. 基于智能优化算法的渔业资源管理模型的优化脉冲控制研究[J]. 应用数学进展, 2024, 13(6): 2869-2879. https://doi.org/10.12677/aam.2024.136275

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