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A modified colonial competitive algorithm for the mixed-model U-line balancing and sequencing problem

Lian, Kunlei; Zhang, Chaoyong; Gao, Liang; Shao, Xinyu - In: International journal of production research 50 (2012) 18, pp. 5117-5131

Persistent link: https://www.econbiz.de/10009667393

Optimisation of the reverse scheduling problem by a modified genetic algorithm

Mou, Jianhui; Gao, Liang; Li, Xinyu; Lu, Chao; Hu, Hongjie - In: International journal of production research 53 (2015) 23/24, pp. 6980-6993

Persistent link: https://www.econbiz.de/10011431567

Discrete electromagnetism-like mechanism algorithm for assembly sequences planning

Gao, Liang; Zhang, Chunjiang; Li, Xinyu; Wang, Lijian - In: International journal of production research 52 (2014) 12, pp. 3485-3503

Persistent link: https://www.econbiz.de/10010356975

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

Li, Xinyu; Gao, Liang - In: International journal of production economics 174 (2016), pp. 93-110

Persistent link: https://www.econbiz.de/10011448564

A hybrid genetic algorithm and tabu search for multi-objective dynamic job shop scheduling problem

Zhang, Liping; Gao, Liang; Li, Xinyu - In: International journal of production research 51 (2013) 12, pp. 3516-3531

Persistent link: https://www.econbiz.de/10009775801

A new neighbourhood structure for job shop scheduling problems

Xie, Jin; Li, Xinyu; Gao, Liang; Gui, Lin - In: International journal of production research 61 (2023) 7, pp. 2147-2161

Persistent link: https://www.econbiz.de/10014230736

A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem

Chen, HaoJie; Li, Xinyu; Gao, Liang - In: International journal of production research 62 (2024) 16, pp. 5631-5653

Persistent link: https://www.econbiz.de/10015053716

Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems

Liu, Qihao; Li, Xinyu; Gao, Liang; Fan, Jiaxin - In: Journal of the Operational Research Society 74 (2023) 9, pp. 1955-1967

Persistent link: https://www.econbiz.de/10014336416

A Cooperative Hierarchical Deep Reinforcement Learning Based Multi-Agent Method for Distributed Job Shop Scheduling Problem with Random Job Arrivals

Huang, Jiang-Ping; Gao, Liang; Li, Xinyu - 2023

Distributed manufacturing has been an important trend in the industrial field, in which the production cost can be reduced through the cooperation among factories. In the real production, the random job arrivals are regular for the enterprises with daily delivered production tasks. In the paper,...

Persistent link: https://www.econbiz.de/10014360368

An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm

Si, Jinghua; Li, Xinyu; Gao, Liang; Li, Peigen - In: International journal of production research 62 (2024) 23, pp. 8260-8275

Persistent link: https://www.econbiz.de/10015095408