2022 Huawei Cup Postgraduate Mathematical Contest in Modeling DS Mathematical Modeling Topic Selection Suggestions

2022 Huawei Cup Postgraduate Mathematical Contest in Modeling DS Mathematical Modeling Topic Selection Suggestions

Openness: F>E>A=D>B=C. Difficulty: A=D>B=C>E=F (Only Mr. C’s personal opinion)

Question A mobile scene super-resolution positioning problem

This question is a physics + cv question, which belongs to a relatively new super-resolution image detection task. The difficulty of this question is how to combine the signal with the traditional super-resolution algorithm. It needs to be simulated, deal with the continuous Fourier dictionary scene and Designing low-complexity algorithms is also a difficult point. Mr. DS-C recommends students of related majors to choose, the questions are moderately open and difficult.

Problem B batch optimization problem of square parts

This problem is essentially an order batching problem and a material cutting problem (also known as a cutting and filling problem), which often appeared in previous modeling competitions. Modeling can be done using the method of operations research, which requires certain programming skills. In the process of target optimization, constraints and objective functions need to be written, and lingo can be used to solve them. Mr. DS-C recommends students majoring in mathematics and computer related majors to choose, the questions are less open, there should be an optimal solution or an optimal solution range, and the difficulty is moderate.

Problem C: Scheduling Optimization Problem of Automobile Manufacturing Painting-Assembly Cache Scheduling Area

Problem C belongs to operations research and optimal scheduling problems, which requires high programming ability. There are many constraints mentioned in the problem. It is necessary to write the corresponding objective function and constraint conditions for the problem. Lingo can be used to solve it, which is suitable for mathematics and statistics. and other related professional students choose. The openness of the topic is low, there should be an optimal solution or an optimal solution interval, and the difficulty is moderate.

Question D PISA architecture chip resource layout problem

This question is given by ZTE. It should solve one of their current pain points. The question is relatively hard-core. In the past one or two years, new chip questions have been added to major modeling competitions to cater to the national policy situation. This question requires familiarity with this kind of knowledge, and it is suitable for students majoring in communication and other related majors, and the difficulty of winning the award should be relatively low. The topic also gives a lot of constraints, and it is necessary to write the corresponding objective function and constraints for the problem. Mr. DS-C is not a relevant professional, so this question will not mislead everyone. It is not recommended for students of non-related majors to choose. The questions are moderately open and difficult. 

Research on grassland grazing strategy for question E (recommended by Mr. C)

This topic is a traditional data analysis and big data topic. There will be in every modeling competition, and it is also a popular topic. For the first question, you can use factor analysis, correlation analysis and other methods. For the prediction task, because it is about time series, you can use ARIMA and other time Sequence algorithms, of course, there are many new models now, you can also search on Zhiyun and other paper websites to find some more innovative algorithms. For some prediction tasks, there should be an optimal solution interval, and everyone can finally get the answer right. Mr. DS-C thinks this topic is suitable for most students to choose. The topic is open and the difficulty is relatively easy, but the upper limit is also high.

Question F: Scientific management of living materials during the COVID-19 epidemic

In the past two years, the epidemic policy problem that will also appear in domestic competitions is here. This problem is to solve the unified management of a large number of scattered people who are isolated at home. Specifically, it is to solve the problem of scientific management of living materials during the epidemic, while improving the efficiency of epidemic prevention and control in an all-round way, and strive to save the personnel input and expenditure of relevant departments. Since this question involves a graph, a clustering algorithm may be required. Youdao topic in the 2020 US competition is similar to this topic. This topic is similar to E topic. They are all routine questions in modeling competitions, and there are a large number of paper models that can be referred to. Mr. DS-C thinks this topic is suitable for most students to choose. The topic is open and the difficulty is relatively easy. 

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