Hexuan Hu

Title: Hexuan Hu: Innovator in Reservoir Optimization

Introduction

Hexuan Hu is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of reservoir operation optimization. His innovative approach combines advanced algorithms with practical applications in flood control.

Latest Patents

Hexuan Hu holds a patent titled "Method for optimizing reservoir operation for multiple objectives based on graph convolutional neural network and NSGA-II algorithm." This method focuses on optimizing reservoir operations for multiple objectives by utilizing a Graph Convolutional Network (GCN) and the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The process involves collecting relevant data for flood-control operations and establishing a multi-objective optimization model. An initial population is generated, and individuals are grouped through an encoding operation, with classifications represented as nodes in the GCN. The relationships between nodes are mapped as edges, leading to the creation of a preliminary Pareto frontier. The GCN model is then trained to classify nodes and adjust the uniformity of the Pareto frontier, ultimately outputting a set of non-inferior solutions for reservoir operation optimization.

Career Highlights

Hexuan Hu is affiliated with Hohai University, where he continues to advance research in water resource management and optimization techniques. His work has garnered attention for its practical implications in improving flood control measures.

Collaborations

Hexuan Hu collaborates with notable colleagues, including Qiang Hu and Ye Zhang, who contribute to his research endeavors and enhance the impact of his work.

Conclusion

Hexuan Hu's innovative methods in reservoir optimization demonstrate the potential of combining advanced algorithms with real-world applications. His contributions are vital for improving flood control strategies and optimizing water resource management.