A Product Configuration Optimization Method Based on Non-dominated Sorting Genetic Algorithm

摘要：

In order to realize the complex product rapid configuration design in the environment of mass configuration (MC), the non-dominated sorting genetic algorithm (NGSA) for product rapid configuration design is proposed in this paper. The model of multiobjective product configuration optimization is established, and hierarchical analysis is made for configuration design. By comparing the similarity and integrity of requirement and instance, the sequence of retrieval instances is given according to the reuse degree, and multi-objective optimization configuration based on NGSA is realized. Finally, the validity and practicability of the method is verified by an instance which is applied in rapid configuration design of the drive module of tuyere puncher.

关键词： Multi-objective optimization Knowledge reuse Product configuration Non-dominated sorting genetic algorithm

作者: W.H.Sun W.C.Lu D.Y.Lin

作者单位: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310027, P.R.China

会议类型: 国际会议

会议名称: 2011 Global Conference on Digital Design and Manufacturing Technology(2011年全国数字设计与制造技术会议)

会议地点: 杭州

会议语种:英文

页码: 366-372

在线出版日期: 2011-01-23（万方平台首次上网日期，不代表论文的发表时间）