Rong-hao Li

China University of Mining and Technology

Papers

1

Total Citations

15

H-Index

1

About

Rong-hao Li is a rising scholar in industrial engineering and operations research, whose work centers on the intersection of intelligent optimization, production scheduling, and robotic automation. His most-cited paper, "A multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation" (2025, 15 citations), introduces a novel co-evolutionary framework that simultaneously optimizes conflicting objectives—such as makespan, energy consumption, and robot utilization—in complex manufacturing environments. This contribution addresses a critical gap in smart factory design, where resource constraints and robotic coordination pose significant challenges. By integrating multi-objective evolutionary algorithms with domain-specific heuristics, Li’s approach demonstrates practical applicability for real-world flexible flowshops, offering scalable solutions that balance productivity and sustainability. Though early in his career, his work has already garnered attention for its methodological rigor and industrial relevance, positioning him as a promising voice in the advancement of Industry 4.0 technologies. Li’s research not only advances algorithmic theory but also provides actionable insights for engineers designing automated production lines, making his contributions valuable for both academia and practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation
15 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: China University of Mining and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago