Papers
1
Total Citations
94
H-Index
1
About
Feiyi Xu is a prominent researcher in the fields of swarm intelligence, optimization algorithms, and robotics. Their most notable contribution is the development of a novel global best guided artificial bee colony algorithm, which significantly enhances the performance of traditional swarm-based optimization methods. This work, published in 2020 and garnering 94 citations, has been successfully applied to robot path planning, demonstrating its practical utility in autonomous navigation and complex problem-solving. Xu’s research focuses on improving the efficiency and accuracy of metaheuristic algorithms, with applications spanning engineering, artificial intelligence, and control systems. Their innovative approach to guiding the search process in artificial bee colony algorithms has provided a robust framework for tackling real-world optimization challenges, inspiring further studies in adaptive and hybrid optimization techniques. Xu’s contributions are widely recognized for bridging theoretical algorithm design with tangible engineering solutions, making their work a valuable resource for students and researchers in computational intelligence and robotics.
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Top Papers
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