Xuekai Sun
Papers
1
Total Citations
2
H-Index
1
About
Xuekai Sun is a researcher whose work centers on intelligent optimization algorithms and their application to complex robotics problems. His primary research areas include swarm intelligence, task allocation, and discrete optimization methods. Sun’s major contribution lies in advancing the Artificial Bee Colony (ABC) algorithm to solve the challenging robotics task assignment problem—a critical issue in multi-robot systems where efficient coordination is essential. By introducing a discrete coding scheme for food sources, his 2017 paper "Optimal solution of robots task assignment problem based on improved artificial bee colony algorithm" (2 citations) offers a novel, fast, and accurate approach to obtaining optimal solutions in these discrete environments. This work demonstrates his ability to bridge theoretical algorithm design with practical engineering challenges. While his citation count is modest, Sun’s research contributes to the growing field of bio-inspired computing, providing a foundation for future work in autonomous systems and intelligent manufacturing. His efforts highlight the potential of nature-inspired algorithms to solve real-world optimization problems efficiently.
Research Focus
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Top Papers
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