Product Robust Design Based on Evolutionary Algorithm
The product robust design which based on evolutionary algorithm could improve the general degree of the products greatly, achieve maximum product function, and meet the diverse needs of users. The product characteristic matrix and the product’s binary tree structure gene are formed by semantic analysis and hierarchical cluster analysis.Through crossover and mutated of the robust factor, robust population and using population, using evolutionary operator such as similarity, correlation, fitness equation to get the global optimal product design solution, which can ensure that product has no sensitivity and small fluctuations while being used in different environment, facing different user with different usage, and then the product could achieve strong robustness. The example of the high-heeled shoes shows that this method has better adaptability and innovativeness in product design.
evolutionary algorithm product robust design robust factor using factor
Zhou Ming Xue Chengqi
College of Mechanical Engineering, Southeast University Nanjing, China
国际会议
浙江义乌
英文
273-277
2010-11-17（万方平台首次上网日期，不代表论文的发表时间）