Unlock Top Modeling Strategies: Essential Papers for the 2025 CUMCM

1. Past Papers: China University Students Online

Recommend the Mathematics Modeling Paper Display Platform on China University Students Online, which hosts selected excellent papers from 2012‑2024. The URL is https://dxs.moe.gov.cn/zx/hd/sxjm/sxjmlw/qkt_sxjm_lw_lwzs.shtml.

This collection provides valuable references for competition preparation, focusing on learning from outstanding papers rather than reading every submission.

The site also offers problem reviews and modeling lectures.

2. 2024 Paper Highlights

Based on the journal Mathematics Modeling and Its Applications , the 2024 competition featured five problems (A‑E) covering dragon‑bench trajectory, multi‑stage production decisions, crop‑planting strategies, anti‑submarine missile hit probability, and traffic flow control.

Key papers for each problem can be found in CNKI.

2024 A: Dragon‑Bench Trajectory Modeling

Focuses on geometric modeling, motion analysis, and area optimization.

Representative papers: Yu Tianming et al. “Dynamic Search‑Based Study of Dragon‑Bench Motion State and Route”; Zhao Yihao et al. “Collision Detection of Dragon‑Bench Based on Separating Axis Theorem”; Li Junkai et al. “Geometric Model‑Based Analysis of Dragon‑Bench Position and Speed”.

2024 B: Multi‑Stage Decision in Production

Emphasizes resource allocation, scheduling optimization, and dynamic response.

Representative papers: Tang Zixuan et al. “Decision Optimization Design in Production Process”; Zhang Rukun et al. “Multi‑Stage Simulation‑Based Production Decision Problem”; Lin Jiaxun et al. “Genetic Algorithm Monte‑Carlo Simulation for Production Decision Optimization”.

2024 C: Crop‑Planting Strategy Design

Addresses integrated decisions on agricultural resources, market risk, and climate change.

Representative papers: Shi Jinghao et al. “Crop‑Planting Strategy Optimization Based on Conditional Value‑at‑Risk”; Guo Gangping et al. “Genetic Algorithm‑Based Rural Planting Strategy Research”.

2024 D: Anti‑Submarine Missile Hit Probability

Involves probability modeling and simulation analysis for military scenarios.

Representative paper: Zhang Haifeng et al. “Optimization of Anti‑Submarine Missile Hit Probability”.

2024 E: Traffic Flow Control and Optimization

Typical urban intelligent traffic problem, covering time‑series analysis, signal optimization, and predictive control models.

Representative papers: Duan Min et al. “Research on Traffic Flow Control”; Huang Senwei et al. “Traffic Signal Optimization Based on Markov Decision Process”; Chen Wenyong et al. “Traffic Flow Control and Prediction Analysis”.

3. Review Papers from Problem Setters

Each problem also has a review paper written by experts, offering solution‑oriented insights and deep model interpretation.

4. How to Use These Resources

Focus on four dimensions: modeling framework (problem restatement → assumptions → model → solution → evaluation), model selection and innovation (reasonableness, new techniques such as deep learning, graph algorithms, optimization), algorithm implementation and simulation (MATLAB/Python, input construction, robustness verification, result visualization), and writing style (concise language, clear figures, consistent formula numbering).

5. Additional Resource Channels

Beyond the official platform, useful channels include the journal, Douban/Zhihu/Bilibili community posts, university modeling clubs, and library databases like CNKI and Wanfang.

6. Preparation Advice for 2025

1) Read 3‑5 excellent papers per problem; 2) Reproduce a classic model (even a simplified version); 3) Use AI tools (e.g., ChatGPT) for paper rewriting and reflection; 4) Form study groups for mutual learning; 5) Prioritize clear, concise writing—being able to write well is harder than just understanding.