Guo Ce

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Guo Ce is a rising researcher in computational intelligence, specializing in metaheuristic optimization algorithms and their application to autonomous navigation and path planning. His work focuses on enhancing the performance of nature-inspired swarm intelligence algorithms—particularly the Dung Beetle Optimization (DBO) algorithm and the Sparrow Search Algorithm (SSA)—to overcome critical limitations such as poor global-local search balance and premature convergence to local optima. In his highly cited 2023 paper (23 citations), Guo Ce introduced a multi-strategy enhanced DBO algorithm that significantly improves obstacle avoidance in mobile robot navigation. His 2024 follow-up work (7 citations) further demonstrates his expertise by proposing an improved SSA with collaborative optimization strategies to boost population diversity and convergence accuracy. These contributions are directly applicable to real-world robotics and autonomous systems, where reliable, efficient path planning is essential. Guo Ce’s research stands out for its practical impact—bridging algorithmic innovation with tangible improvements in robotic navigation performance—making his work a valuable reference for students and engineers developing intelligent, adaptive control systems.