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应用遗传算法进行三次设计初探
Tentative Research for Three Stage Design by Genetic Algorithm
【摘要】 应用遗传算法进行三次设计,与传统的田口方法对同一实际问题进行求解对比,不仅可以大大减少试验次数和计算,而且结果表明,遗传算法获得的最优目标值比田口方法要好.如果结合回归试验设计或人工神经网络,遗传算法也能应用于试验性项目的三次设计.
【Abstract】 This paper imposes the Genetic Algorithm on Three Stage Design.Comparing with conventional Tiankou Method,it can greatly reduce the experiment times and computation,and the result shows that the goal optimum obtained by Genetic Algorithm is better than that by conventional Tiankou Method.The Genetic Algorithm can also apply to the Three Stage Design of experiment item if it is combinied the with regression experiment design or the Artificial Neural Network.
【关键词】 三次设计;
正交设计;
遗传算法;
适应值函数;
【Key words】 three stage design; orthogonal design; genetic algorithm; fitness function;
【Key words】 three stage design; orthogonal design; genetic algorithm; fitness function;
【基金】 国家自然科学基金资助项目(60172061)
- 【文献出处】 北京交通大学学报 ,Journal of Beijing Jiaotong University , 编辑部邮箱 ,2006年06期
- 【分类号】TP18;TP391.7
- 【被引频次】6
- 【下载频次】172