Leshi Shu

发表

Metamodel-based design optimization employing a novel sequential sampling strategy

Yahui Zhang, Xinyu Shao, Ping Jiang, 2017 .

A Multi-Objective Robust Optimization Approach Under Interval Uncertainty Based on Kriging and Support Vector Machine

Yang Yang, Leshi Shu, Ping Jiang, 2018, DAC 2018.

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

Hui Zhou, Xinyu Shao, Ping Jiang, 2015, Simul. Model. Pract. Theory.

An active learning variable-fidelity metamodeling approach for engineering design

Hui Zhou, Ping Jiang, Leshi Shu, 2015, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

A New Multi-Objective Bayesian Optimization Formulation With the Acquisition Function for Convergence and Diversity

Yan Wang, Xinyu Shao, Leshi Shu, 2020 .

A multi-objective robust optimization approach for engineering design under interval uncertainty

Xinyu Shao, Leshi Shu, Qi Zhou, 2018 .

Improving Multi-Objective Genetic Algorithm Efficiency for Computational Expensive Problems Adopting Online Variable-Fidelity Metamodel

Yahui Zhang, Leshi Shu, Ping Jiang, 2018, DAC 2018.

A sequential multi-objective robust optimization approach under interval uncertainty based on support vector machines

Ping Jiang, Qi Zhou, Leshi Shu, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

A variable-fidelity modeling method based on self-organizing maps spatial reduction

Ping Jiang, Leshi Shu, Qi Zhou, 2016, 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II

Chao-Chao Wang, Xinyu Shao, Ping Jiang, 2016, Adv. Eng. Softw..

An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization

Xinyu Shao, Ping Jiang, Leshi Shu, 2018, Appl. Soft Comput..

A global support vector regression based on sorted K-fold method

Ping Jiang, Qi Zhou, Leshi Shu, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS

Xinyu Shao, Ping Jiang, Leshi Shu, 2018, Applied Intelligence.

An active learning variable-fidelity metamodelling approach based on ensemble of metamodels and objective-oriented sequential sampling

Hui Zhou, Xinyu Shao, Leshi Shu, 2016 .

Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems

Leshi Shu, Qi Zhou, Ping Jiang, 2020, Structural and Multidisciplinary Optimization.

Comparative studies of error metrics in variable fidelity model uncertainty quantification

Yahui Zhang, Xinyu Shao, Yang Yang, 2018, Journal of Engineering Design.

Variable-Fidelity Lower Confidence Bounding Approach for Engineering Optimization Problems with Expensive Simulations

Qi Zhou, Leshi Shu, Ping Jiang, 2019 .

An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models

Chao-Chao Wang, Xinyu Shao, Ping Jiang, 2016, Adv. Eng. Informatics.

A sequential sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS

Yahui Zhang, Leshi Shu, Qi Zhou, 2016 .

Predicting the weld width from high-speed successive images of the weld zone using different machine learning algorithms during laser welding.

Leshi Shu, Ping Jiang, Qi Zhou, 2019, Mathematical biosciences and engineering : MBE.

An online variable-fidelity optimization approach for multi-objective design optimization

Leshi Shu, Ping Jiang, Tingli Xie, 2019, Structural and Multidisciplinary Optimization.

A multi-fidelity Bayesian optimization approach based on the expected further improvement

Yan Wang, Leshi Shu, Ping Jiang, 2020, Structural and Multidisciplinary Optimization.

A fitness approximation and on-line variable-fidelity metamodel based multi-objective genetic algorithm

Ping Jiang, Qi Zhou, Leshi Shu, 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

Laser Welding Process Parameters Optimization Using Variable-Fidelity Metamodel and NSGA-II

Ping Jiang, Leshi Shu, Qi Zhou, 2017 .

A robust optimization approach based on multi-fidelity metamodel

Yan Wang, Xinyu Shao, Leshi Shu, 2018 .

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

Yahui Zhang, Hua Wei, Leshi Shu, 2018, J. Comput. Inf. Sci. Eng..

Novel Approach for Selecting Low-Fidelity Scale Factor in Multifidelity Metamodeling

Qi Zhou, Leshi Shu, Xueguan Song, 2019 .

Defect detection method using laser vision with model-based segmentation for laser brazing welds on car body surface

Leshi Shu, Bin Li, Shuangdong Hua, 2021 .

A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems

Leshi Shu, Qi Zhou, Ping Jiang, 2021, Appl. Soft Comput..

A novel sequential exploration-exploitation sampling strategy for global metamodeling

Xinyu Shao, Leshi Shu, Qi Zhou, 2015 .