Qianqian Feng

Papers

Total Citations

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About

Qianqian Feng is a researcher whose work bridges computational optimization and infrastructure planning, with a primary focus on applying nature-inspired algorithms to complex engineering challenges. Her most cited paper, "Ant Colony Optimization for Power Line Routing Problem" (2016), demonstrates her key contribution: adapting swarm intelligence techniques to solve real-world routing and logistics problems in power systems. This work, which has garnered 3 citations, introduces a novel approach to optimizing power line paths by mimicking the foraging behavior of ants, offering more efficient and cost-effective solutions than traditional methods. Feng’s research is particularly impactful for its practical applications in energy infrastructure, where her algorithms help reduce construction costs and environmental disruption. While her citation count is modest, her work represents a foundational step in integrating metaheuristic optimization with utility network design. Feng’s achievements highlight her ability to translate complex theoretical models into actionable engineering tools, making her a valuable contributor to the fields of computational intelligence and sustainable infrastructure development.