Zhaoqi He
Papers
1
Total Citations
9
H-Index
1
About
Zhaoqi He is a researcher in combinatorial optimization and operations research, with a primary focus on the traveling salesman problem (TSP) and its solution methodologies. His most notable contribution is a comprehensive review of TSP solution methods, published in 2024, which has already garnered 9 citations—a strong indicator of its timely impact in the field. This work synthesizes classical and modern approaches, from exact algorithms to heuristic and metaheuristic techniques, providing a valuable resource for both newcomers and seasoned researchers. By systematically analyzing the strengths and limitations of various methods, He’s review helps guide future algorithmic developments and practical applications in logistics, network design, and artificial intelligence. His research underscores the enduring relevance of TSP as a benchmark problem in computational science. As an emerging scholar, Zhaoqi He’s work is poised to influence ongoing efforts to solve large-scale optimization challenges efficiently.
Research Focus
Key Achievements
Top Papers
- 1Review of Traveling Salesman Problem Solution Methods9 citations · 2024