Energy Consumption Modeling and Optimization of a Hobbing Machine Tool Considering Multi-Axis Coupling.
IEEE Trans Autom. Sci. Eng., July, 2024
Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties.
J. Comput. Inf. Sci. Eng., 2024
A Minimum-Control-Trajectory-Deviation Time Grid Reconstruction Strategy for Co-Design Approach.
J. Comput. Inf. Sci. Eng., August, 2023
Energy Saving Design Optimization of CNC Machine Tool Feed System: A Data-Model Hybrid Driven Approach.
IEEE Trans Autom. Sci. Eng., 2022
Risk-based design optimization under hybrid uncertainties.
Eng. Comput., 2022
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties.
Eng. Comput., 2022
A New Approach to Solve Uncertain Multidisciplinary Design Optimization Based on Conditional Value at Risk.
IEEE Trans Autom. Sci. Eng., 2021
Energy Consumption Prediction of a CNC Machining Process With Incomplete Data.
IEEE CAA J. Autom. Sinica, 2021
Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty.
Adv. Eng. Informatics, 2019
Remaining Useful Life Estimation Based on a New Convolutional and Recurrent Neural Network.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Conditional Value at Riskbased Multidisciplinary Robust Design Optimization.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Mode Pursuing Sampling Method for Multidisciplinary Deisgn Optimization in Ship Conceptual Design.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
Robust Analytical Target Cascading Method for Multidisciplinary Design Optimization under Uncertainty.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
Multidisciplinary design optimization under correlated uncertainties.
Concurr. Eng. Res. Appl., 2017