Wencai Zhang

Papers

Total Citations

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About

Dr. Wencai Zhang is a researcher focused on the optimization of complex scheduling systems, particularly within the domain of manned robot swarms and intelligent transportation. His most cited work introduces a novel "ant-sparrow algorithm," a hybrid metaheuristic that combines the strengths of ant colony optimization and sparrow search algorithms to solve the demand-time-space-energy consumption scheduling model. This model, which balances passenger waiting time against robot swarm energy consumption, represents a significant contribution to the field of multi-objective optimization for public environment robotics. Though his top-cited paper has garnered 4 citations, the innovative nature of the ant-sparrow algorithm provides a foundational methodology for future research in swarm intelligence and logistics. Dr. Zhang’s work is particularly relevant for students and researchers exploring the intersection of bio-inspired computation, autonomous systems, and sustainable urban mobility, offering a practical framework for improving efficiency in human-robot collaborative environments.