关键词: 函数调用, 遗传算法, 最优化, 配色系数, 非线性

Abstract: This article offers two different optimization methods as for the problem of parameter’s optimization in the mathematics model. That is, non-linear programming function and the function of gaopt in the genetic algorithm optimization toolbox. In view of respective characters of the two different optimization methods, the optimal value of gaopt function is regarded as the initial value of optimization of non-linear programming functions. The method solves the problem about the uncertainty of the initial value of non-linear programming functions and the required parameter values would be quickly and reasonably searched. The result proves that the method of the combination of genetic algorithm and function transfer preferably realizes the optimization of parameter values in mathematics model.

Key words: function transfer, genetic algorithm, optimization, matching coefficient, non-linear