基于混合遗传算法的染色优化模型与仿真

为解决染色工艺优化设计问题,以生产成本最小化为优化目标,构造染色工艺优化设计的数学模型。针对模型非线性约束的特点,采用具有自适应惩罚适值函数和交叉率的混合遗传算法,对模型进行优化计算及仿真。实验结果表明,该方法优化后的生产成本节约了8.8%,证明该优化模型及算法的有效性及实用性,对生产成本的预测以及染色工艺参数的制定具有实际意义。

Model and Simulation of Dyeing Optimization Based on Hybrid Genetic Algorithm

In order to solve the problems of the design and optimization of dyeing technology, a mathematic model is established based on the objective function of minimum cost. Considering the characteristic of nonlinearity of model, a hybrid genetic algorithm combined with self-adaptive penalty function and crossover are applied to conduct the optimization calculation and simulation. Experimental result shows that the productive cost is reduced 8.8% based on the optimal parameters. The effectiveness and the good performance of the optimal model and algorithm are demonstrated, and it is very useful for prediction of the cost and the selection of dyeing parameters.