[1] Zheng Wanguo, Deng Ying, ZhouWei, . Development of laser technology in research center of laser fusion[J]. High Power Laser and Particle Beams, 25, 3082-3090(2013).

[2] Panwalkar SS, Iskander W. A survey of scheduling rules[J]. Operations Research, 25, 45-61(1977).

[3] Zhang Zequn, Tang Dunbing, JinYongqiao, . Self-organizing production technology for discrete workshop scheduling driven by internet of things[J]. Journal of Mechanical Engineering, 54, 34-44(2018).

[4] Long Tian, Shi Yuqiang, Wang Junjia. Simulation modeling and analysis for online flexible job-shop scheduling problem[J]. Machinery Design & Manufacture, 27-30(2015).

[5] [5] Burke E K, Hyde M, Kendall G, et al. A survey of hyperheuristics[R]. Nottingham: University of Nottingham, 2009.

[6] Fan Huali, Xiong Hegen, Jiang Guozhang, . Survey of dispatching rulesfor dynamic job-shop scheduling problem[J]. Application Research of Computers, 33, 648-653(2016).

[7] Mouelhi-Chibani W, Pierreval H. Training a neural network to select dispatching rules in real time[J]. Computers & Industrial Engineering, 58, 249-256(2010).

[8] Golmohammadi D. A neural network decision-making model for job-shop scheduling[J]. International Journal of Production Research, 51, 5142-5157(2013).

[9] Zhang Liping, Hu Yifan, Wang Chuangjian, et al. Effective dispatching rules mining based on near-optimal schedules in intelligent job shop environment[J]. Journal of Manufacturing Systems, 63, 424-438(2022).

[10] [10] Holl JH. Adaptation in natural artificial systems: an introducty analysis with applications to biology, control, artificial intelligence[M]. Cambridge: The MIT Press, 1992.