代表性论文：
Yang-Yuan Li, Jian Lin, Zhou-Jing Wang. Multi-skill resource constrained project scheduling using a multi-objective discrete Jaya algorithm [J]. Applied Intelligence, 2021, doi:10.1007/s10489-021-02608-8. (SCI)
Hongbo Song, Jian Lin. A genetic programming hyper-heuristic for the distributed assembly permutation flowshop scheduling problem with sequence dependent setup times [J]. Swarm and Evolutionary Computation, 2021(60): 100807. (SCI)
Jian Lin, Lei Zhu, Kaizhou Gao. A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem [J]. Expert Systems With Applications, 2020, 140: 112915. (SCI)
Lei Zhu, Jian Lin, Zhou-Jing Wang. A discrete oppositional multi-verse optimization algorithm for multi-skill resource constrained project scheduling problem [J]. Applied Soft Computing, 2019, 85: 105805. (SCI)
Jian Lin, Lei Zhu, Zhou-Jing Wang. A hybrid multi-verse optimization for the fuzzy flexible job-shop scheduling problem [J]. Computers & Industrial Engineering, 2019, 127: 1089-1100. (SCI)
Jian Lin, Zhou-Jing Wang. Multi-area economic dispatch using an improved stochastic fractal search algorithm [J]. Energy, 2019, 166: 47-58. (SCI)
Jian Lin. Backtracking search based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time [J]. Engineering Applications of Artificial Intelligence, 2019, 77: 186-196. (SCI)
Jian Lin, Zhou-Jing Wang, Xiaodong Li. A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem [J]. Swarm and Evolutionary Computation, 2017, 36: 124-135. (SCI, SSCI)
Jian Lin, Zhou-Jing Wang. Parameter identification for fractional-order chaotic systems using a hybrid stochastic fractal search algorithm [J]. Nonlinear Dynamics, 2017, 90 (2): 1243-1255. (SCI)
Jian Lin, Shuai Zhang. An effective hybrid biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem [J]. Computers & Industrial Engineering, 2016, 97: 128-136. (SCI)
Jian Lin. A hybrid discrete biogeography-based optimization for the permutation flow shop scheduling problem. International Journal of Production Research, 2016, 54(16): 4805-4814. (SCI)
