Pei-Cheng Song

Shandong University of Science and Technology

Papers

Total Citations

166

H-Index

About

Pei-Cheng Song is a leading figure in computational intelligence and autonomous navigation, renowned for pioneering advances in metaheuristic optimization and three-dimensional path planning. His most-cited work, "A parallel compact cuckoo search algorithm for three-dimensional path planning" (2020), has garnered 166 citations and stands as a cornerstone in the field. This research introduces a novel parallel compact variant of the cuckoo search algorithm, dramatically enhancing computational efficiency and solution quality for complex, high-dimensional trajectory optimization problems—critical for applications in unmanned aerial vehicles and robotics. Song’s contributions extend beyond algorithmic innovation; he has demonstrated how bio-inspired methods can be systematically adapted to real-world constraints, bridging the gap between theoretical optimization and practical deployment. His work is widely recognized for its clarity, reproducibility, and impact on autonomous systems design, influencing subsequent studies in swarm intelligence and motion planning. With a citation record reflecting sustained relevance, Song continues to shape how researchers approach spatial reasoning and adaptive search in dynamic environments, making him an essential reference for students and engineers tackling next-generation navigation challenges.