Anheng Wang
Papers
2
Total Citations
32
H-Index
2
About
Anheng Wang is a researcher whose work centers on advancing autonomous navigation through intelligent path planning algorithms for mobile robots. His primary contributions lie in enhancing the efficiency and optimality of evolutionary and swarm-based optimization methods. Wang’s most influential work, a 2022 paper on path planning using an improved genetic algorithm (22 citations), directly tackles the slow convergence and suboptimal solutions inherent in basic genetic algorithms by refining chromosome initialization and selection processes. Building on this, his 2023 study on a fusion algorithm combining ant colony optimization with genetic algorithms (10 citations) introduces a novel “selection-crossover” mechanism to reduce redundant nodes and accelerate convergence. Collectively, Wang’s research demonstrates a systematic approach to overcoming the limitations of single-algorithm strategies, offering more robust and efficient solutions for real-world robotic navigation. His work is particularly valuable for researchers and engineers developing autonomous systems in complex, dynamic environments, providing a clear methodological bridge between theoretical optimization and practical application.
Research Focus
Key Achievements
Top Papers
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