摘要
提出了产品配置与变型设计分界点的概念,将产品性能与客户满意度相结合构建优化目标函数,并设计了由性能评价指数判断分界点和由性能相似度判断需变型零部件的判别方法。然后以产品性能最优为目标,设计了基于遗传算法的多目标优化求解算法,并给出了分界点判断的具体流程。最后进行了实例验证,结果表明所提出的方法能够有效解决分界点的判断问题。
The concept of dividing point between configuration and variant design was proposed firstly. An optimization objective function was constructed by combining product performance and the customer satisfaction. A judging method was designed with a performance index for checking the dividing point and performance similarity for finding the parts of required variant design. Then, with the objectives of optimal product performance, a multi-objective optimization algorithm was designed based on genetic algorithm, and the process of checking the dividing point was also specified. In the end, the proposed genetic algorithm was verified by an example. The results showed that the proposed approach could solve this problem efficiency.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2012年第8期198-204,共7页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(51175304)
关键词
产品配置
变型设计
多目标优化
遗传算法
客户满意度
Product configuration, Variant design, Multi-objective optimization, Geneticalgorithm, Customers satisfaction
