Xingjiang Fan

Changsha University of Science and Technology

Papers

Total Citations

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About

Xingjiang Fan is a leading researcher in swarm intelligence and autonomous robotics, with a primary focus on developing adaptive algorithms for mobile robot navigation. His most significant contribution lies in advancing the firefly algorithm for global path planning, where he identified and resolved a critical conflict between population size and obstacle density that had long limited the algorithm’s efficiency. In his highly cited 2020 work, Fan introduced a self-adaptive population size mechanism that dynamically adjusts the number of fireflies during iteration, achieving a remarkable balance between exploration capability and computational complexity. This innovation has garnered 44 citations and is widely recognized for enabling real-time path planning in cluttered environments. Fan’s research bridges theoretical optimization with practical robotics, offering scalable solutions for autonomous systems. His work continues to influence fields ranging from warehouse logistics to search-and-rescue operations, where efficient navigation in dynamic spaces is paramount. By systematically addressing the trade-offs inherent in swarm-based algorithms, Fan has established himself as a key figure in the evolution of intelligent mobile robotics.