A novel design of experiment algorithm using improved evolutionary multi-objective optimization strategy
作者： Jin Yan , Ni Li , Yuhong Li , Guanghong Gong
DOI: 10.1016/J.ENGAPPAI.2021.104283
关键词:
摘要: Abstract The paper aims to propose an intelligent design of experiment (DOE) algorithm using improved evolutionary multi-objective optimization approach. Adaptive strategies are embedded in the support simulation test schemes with multiple factors whose levels same or different. Comparative results several existing DOE algorithms show better sampling capacity and fine efficiency proposed algorithm. Application effects a complex flight simulator indicate wide technological prospect serving well certain systems.
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