Implementation of Mathematical Modeling Teaching Based on Intelligent Algorithm

Abstract

The optimization of mathematical model plays an important role in the process of mathematical modeling. The optimization of intelligent algorithm is a common method to solve the optimization model. Its advantages are strong computing power, simple algorithm design and easy implementation. Because the objective function has no special requirements and is easy to program, it can solve the problem in an acceptable time range. Therefore, the intelligent optimization algorithm can well solve the optimization problem in mathematical modeling. Intelligent algorithms are well used in evaluation and determination, prediction and prediction, optimization and control models, especially through analysis and basic statistics. After rough statistics, in the college students' mathematical modeling contest every year, there are 49 problems including optimization problems, and the proportion is about 61.25%. At least one problem needs to be solved every year. In order to solve the optimization mode, students often face many difficulties in using intelligent optimization algorithm. Mathematical modeling course embodies the case education based on classification education, that is, knowledge classification. In education, more attention should be paid to the understanding and application of knowledge, the transmission and integration of knowledge. In education, we should choose the optimal algorithm together. The teaching methods should be varied. It is helpful to improve the teaching effect to explore the teaching method of intelligent optimization algorithm in mathematical modeling. This paper analyzes the problems in intelligent optimization algorithm education, and discusses the education methods of these problems.