Mathematical modeling is the process of solving practical problems by establishing mathematical models. In the process of mathematical modeling, it is very important to find the optimal solution to the problem. In real life, many problems can be solved by traditional optimization models. However, there are also many practical problems without a benign structure, which need to be solved with the help of intelligent optimization algorithm. This paper first introduces the basic theory of mathematical modeling and intelligent optimization algorithm, and then analyzes the common particle swarm algorithm, ant colony algorithm and genetic algorithm in mathematical modeling.

Huang Dezhi. On Intelligent Optimization Algorithm in Mathematical Modeling. Frontiers in Educational Research (2020) Vol. 3 Issue 6: 1-3. https://doi.org/10.25236/FER.2020.030601.

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