Zhixiang Hou

Changsha University of Science and Technology

Papers

Total Citations

H-Index

About

Zhixiang Hou is a leading figure in computational intelligence and mobile robotics, with a core focus on swarm intelligence algorithms and autonomous navigation. His most-cited work, "A Firefly Algorithm With Self-Adaptive Population Size for Global Path Planning of Mobile Robot" (2020, 44 citations), addresses a critical bottleneck in robotic path planning: the dynamic conflict between algorithm exploration and computational cost. Hou’s major contribution lies in designing a self-adaptive mechanism that intelligently adjusts the firefly population size based on obstacle density during iteration, significantly enhancing both efficiency and solution quality. This innovation bridges the gap between theoretical swarm optimization and practical real-world deployment. Beyond this flagship study, Hou’s research portfolio consistently demonstrates how bio-inspired metaheuristics—such as firefly and particle swarm algorithms—can be tailored for complex engineering challenges, including multi-objective optimization and dynamic environment mapping. His work has been widely cited by researchers in robotics, control systems, and artificial intelligence, underscoring its impact on advancing autonomous decision-making. Hou’s achievements exemplify how adaptive algorithmic design can solve real-world navigation problems, making him a pivotal voice in the evolution of intelligent mobile systems.