A Hybrid Neural Networks-Coevolution Genetic Algorithm for Multi Variables Robust Design Problem in Quality Engineering

Journal of Information Technology Management

卷:1

关键词: Co evolution Genetic Algorithm;    Genetic algorithm;    neural networks;    Quality Engineering;    Robust optimization;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this study, a hybrid algorithm is presented to tackle multi-variables robust design problem.The proposed algorithm comprises neural networks (NNs) and co-evolution genetic algorithm (CGA) in which neural networks are as a function approximation tool used to estimate a map between process variables. Furthermore, in order to make a robust optimization of response variables, co-evolution algorithm is applied to solve constructed model of process. Results of CGA are compared with genetic algorithm (GA). This algorithm is tested in a case study of open-end spinning process.

【 授权许可】

Unknown