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A New Efficient and Useful Robust Optimization Approach – Design for Multi-Objective Six Sigma

机译：一种新的高效实用的鲁棒优化方法 - 多目标六西格玛设计

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Koji Shimoyama;
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年度 2008
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1. Development of Multi-Objective Six-Sigma Approach for Robust Design Optimization [J] . Koji Shimoyama, Akira Oyama, Kozo Fujii Journal of Aerospace Computing, Information, and Communication . 2008,第期

机译：鲁棒设计优化的多目标六西格玛方法的开发
2. Multi-Objective Six-Sigma Approach for Robust Optimization of Multi-Point Dieless Forming Process [J] . Abebe Misganaw, Yoon Junseok, Kang Beom-Soo International Journal of Precision Engineering and Manufacturing . 2020,第10期

机译：多点无无点形成过程鲁棒优化的多目标六秒形方法
3. A New Deterministic Approach Using Sensitivity Region Measures for Multi-Objective Robust and Feasibility Robust Design Optimization [J] . Mian Li, Shapour Azarm, Art Boyars Journal of Mechanical Design . 2006,第4期

机译：基于灵敏度区域测度的确定性新方法用于多目标鲁棒性和可行性鲁棒性设计优化
4. A new efficient and useful robust optimization approach - design for multi-objective six sigma [C] . Shimoyama, K., Oyama, Evolutionary Computation, 2005. The 2005 IEEE Congress on . 2005

机译：一种新的高效有用的鲁棒优化方法-多目标六西格玛设计
5. Efficient and Robust Multi-objective Optimization Applied to Problems in Electrostatics, Electromagnetics and Optics [D] . Nagar, Jogender 2018

机译：高效，鲁棒的多目标优化方法应用于静电学，电磁学和光学问题
6. Bayesian Multi-objective Hyperparameter Optimization for Accurate Fast and Efficient Neural Network Accelerator Design [O] . Maryam Parsa, John P. Mitchell, Catherine D. Schuman, 2020

机译：贝叶斯多目标封路计优化准确快速高效的神经网络加速器设计
7. On the Modelling of Integrated AHP and CoCoSo Approach for Robust Design of Multi-objective Optimization of thinning Parameters for Maximum thinning Rate and Determine Optimum Locations for Directionally-rolled Deep-drawn Cups using Scaling Laws [O] . Sundar Sivam, R. Rajendran 2020

机译：关于稀疏参数多目标优化鲁棒设计集成AHP和Cocoso方法的建模，用于使用缩放法测定定向卷取深拔杯的最佳位置

A New Efficient and Useful Robust Optimization Approach – Design for Multi-Objective Six Sigma

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