Shuo Wang

Title: Innovations by Shuo Wang in Multi-Objective Optimization

Introduction

Shuo Wang is an accomplished inventor based in Tianjin, China. He has made significant contributions to the field of optimization through his innovative patent. His work focuses on enhancing system operations by incorporating user preferences into multi-objective optimization problems.

Latest Patents

Shuo Wang holds a patent titled "Systems for solving general and user preference-based constrained multi-objective optimization problems." This patent introduces a user-preference-enabling (UPE) method that optimizes system operations based on user preferences. The method models operations as a user-preference-based multi-objective optimization (MOO) problem, which includes multiple objective functions subject to various constraints. These constraints encompass system limitations and a wish list that specifies user-preferred ranges for one or more objective functions. The UPE method calculates a wish list feasible solution (WL-feasible solution) to the user-preference-based MOO problem. It can be performed iteratively to compute targeted Pareto-optimal solutions and can be integrated with other numerical methods to reliably compute feasible solutions for both conventional and user-preference-based MOO problems. Shuo Wang has 1 patent to his name.

Career Highlights

Shuo Wang is currently employed at Bigwood Technology Incorporated, where he continues to develop innovative solutions in optimization. His expertise in the field has positioned him as a valuable asset to his company.

Collaborations

Shuo Wang collaborates with Hsiao-Dong Chiang, contributing to advancements in their shared field of expertise.

Conclusion

Shuo Wang's innovative approach to multi-objective optimization demonstrates the potential for user preferences to enhance system operations. His contributions are paving the way for more efficient and user-centric solutions in technology.