[1] Zhao C, Zhou Y, Chen Z. Decomposition-based evolutionary algorithm with automatic estimation to handle many-objective optimization problem[J]. Information Sciences, 2021, 546: 1030-1046. (SCI一区TOP, IF 8.1)
[2]JZhao C, Zhou Y, Lai X. An integrated framework with evolutionary algorithm for multi-scenario multi-objective optimization problems[J]. Information Sciences, 2022, 600: 342-361. (SCI一区TOP, IF 8.1)
[3] Zhao C, Zhou Y, Hao Y. Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems[J]. Swarm and Evolutionary Computation, 2022, 75: 101168. (SCI一区TOP, IF 10.0)
[4] Zhao C, Hao Y, Gong D, et al. An ensemble learning-based multi-population evolutionary framework for multi-scenario multi-objective optimization problems[J]. Knowledge-Based Systems, 2023: 110708. (SCI一区TOP, IF 8.8)
[5] Zhao C, Zhou Y, Hao Y, et al. A bi-layer decomposition algorithm for many-objective optimization problems[J]. Applied Intelligence, 2022, 52(13): 15122-15142. (SCI二区, IF 5.3)
[6] Hao Y, Si B, Zhao C. Topology transformation-based multi-path algorithm for urban rail transit network[J]. Transportation Research Part C: Emerging Technologies, 2022, 136: 103540. (SCI一区TOP, IF 9.02)
[7] Hao Y, Si B, Zhao C. A novel shortest path algorithm with topology transformation for urban rail transit network[J]. Computers & Industrial Engineering, 2022, 169: 108223. (SCI二区, IF 7.9)
[8] Hao Y, Bingfeng S, Zhao C. Streamlined Hierarchical Topology Network-Based Passenger Flow Assignment of Urban Rail Transit[J]. Transportation Research Record, 2022, 2676(8): 683-696. (SCI四区, IF 1.7)
