计算机工程2009，Vol.35Issue(22)：218-220,3.
基于混合遗传算法的染色优化模型与仿真
Model and Simulation of Dyeing Optimization Based on Hybrid Genetic Algorithm
摘要
Abstract
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.关键词
染色工艺/优化设计/混合遗传算法/自适应罚函数/自适应交叉率Key words
dyeing technology/optimization design/hybrid genetic algorithm/self-adaptive penalty 'function/self-adaptive crossover分类
信息技术与安全科学引用本文复制引用
汪岚..基于混合遗传算法的染色优化模型与仿真[J].计算机工程,2009,35(22):218-220,3.基金项目
泉州市科技计划基金资助重点项目"双极性变频技术研究"(2007G13) （2007G13）
