MATLAB Model for Fishing Strategy Problem in China College Student Mathematical Contest in Modeling

This mathematical modeling competition focuses on fishing strategy optimization, requiring participants to design and analyze models using MATLAB. Competitors must account for multiple biological and environmental factors including fish population dynamics, migration patterns, growth rates, and various fishing strategies. The model implementation involves using differential equations to simulate population changes, optimization algorithms to determine catch quotas, and statistical methods to analyze historical data. Key MATLAB functions likely employed include ode45 for solving differential equations, fmincon for optimization, and various data visualization tools for result analysis. Additional environmental considerations such as weather conditions, temperature variations, and water currents must be integrated into the model through environmental impact coefficients and seasonal adjustment factors. Participants need to conduct thorough factor analysis and numerical computations to establish optimal fishing strategies while maintaining sustainable population levels. The modeling process requires code development for simulation scenarios, parameter sensitivity analysis, and model validation through Monte Carlo methods or back-testing techniques. This competition enhances participants' mathematical modeling capabilities, MATLAB programming skills, and provides deep insight into the complexities of fisheries management and sustainable resource allocation.