1 |
Yuan M H, Li Y D, Zhang L Z, et al. Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm[J].Robotics and Computer- integrated Manufacturing, 2021,71(12): 102141.
|
2 |
Wang H Y, Zhao F, Gao H M, et al. A three-stage method with efficient calculation for lot streaming flow-shop scheduling[J]. Frontiers of Information Technology & Electronic Engineering,2019,20(7):1002-1020.
|
3 |
叶涛锋,达庆利.基于批量流的多阶段生产系统的优化问题研究[J].中国管理科学,2011,19(2):71-78.
|
|
Ye T F, Da Q L. Optimizing interrupted multi-stage production with lot streaming[J]. Chinese Journal of Management Science, 2011,19(2):71-78.
|
4 |
李劲,李洪,徐丽丽,等.基于改进遗传算法的置换装配线调度问题研究[J].中国管理科学,2016,24(12):63-71.
|
|
Li J, Li H, Xu L L, et al. Research on assembly line scheduling problem based on improved genetic algorithm[J]. Chinese Journal of Management Science, 2016,24(12):63-71.
|
5 |
黄辉,李梦想,严永.考虑序列设置时间的混合流水车间多目标调度研究[J].运筹与管理,2020,29(12):215-221.
|
|
Huang H, Li M X, Yan Y. Research on multi-objective scheduling of hybrid flow production shopconsidering sequence setting time[J]. Operations Research and Management Science, 2020,29(12):215-221.
|
6 |
Zhu H H, Zhang Y, Sun H W, et al.An improved genetic algorithm for solving the mixed-flow job-shop scheduling problem with combined processing constraints[J].Transactions of Nanjing University of Aeronautics and Astronautics,2021,38(3):415-426.
|
7 |
程月明,牛占文,刘超超.装配式建造模式中混凝土预制构件调度优化[J].工业工程与管理, 2020,25(4):50-58.
|
|
Cheng Y M, Niu Z W, Liu C C. Scheduling optimization of prefabricated concrete members inprefabricated construction mode[J]. Industrial Engineering and Management, 2020,25(4):50-58.
|
8 |
王茹,班丹梅,王月,等.考虑资源约束的预制混凝土构件生产调度问题研究[J].制造业自动化,2020,42(12):63-67.
|
|
Wang R, Ban D M, Wang Y, et al. Research on production scheduling problem of prefabricated concrete components considering resource constraints[J]. Manufacturing Automation,2020,42(12):63-67.
|
9 |
谢思聪,陈小波.基于多层编码遗传算法的两阶段装配式建筑预制构件生产调度优化[J].工程管理学报,2018,32(1):18-22.
|
|
Xie S C, Chen X B. Two phase job-shop scheduling optimization for prefabricated construction projects based on multilayer coding genetic algorithm[J]. Journal of Engineering Management,2018,32(1):18-22.
|
10 |
Khalili A, Chua D. Integrated prefabrication configuration and component grouping for resource optimization of precast production[J]. Journal of Construction Engineering and Management, 2014, 140(2):04013052.
|
11 |
Wang Z J, Hu H. Improved precast production-scheduling model considering the whole supply chain[J]. Journal of Computing in Civil Engineering, 2017,31(4):1-12.
|
12 |
Anvari B, Angeloudis P, Ochieng W. A multi-objective ga-based optimisation for holistic manufacturing, transportation and assembly of precast construction[J].Automation in Construction, 2016, 71(2): 226-241.
|
13 |
赵东方,张晓冬,周宏丽.面向并行制造的多生产单元协同调度研究[J].中国管理科学,2020,28(8):188-195.
|
|
Zhao D F, Zhang X D, Zhou H L. Multi-manufacturing cells collaborative scheduling based on parallel manufacturing[J]. Chinese Journal of Management Science,2020,28(8):188-195.
|
14 |
Yang Z T, Ma Z L, Wu S. Optimized flowshop scheduling of multiple production lines for precast production[J].Automation in Construction, 2016,72(87):321-329.
|
15 |
方秋军,陈勇,庄薇,等. 多生产线作业协调调度的PSOGA混合优化算法[J]. 现代制造工程, 2012,380(5):27-32.
|
|
Fang Q J, Chen Y, Zhuang W, et al. Multi-line optimal scheduling research based on PSOGA hybrid optimization algorithm[J]. Modern Manufacturing Engineering, 2012,380(5):27-32.
|
16 |
方爱斌,朱敏涛.不同预制构件生产线生产工艺及能耗指标分析研究[J]. 混凝土,2021(1):127-131.
|
|
Fang A B, Zhu M T. Analysis and research on production technology and energy consumption index of different prefabricated component production lines[J]. Concrete, 2021(1):127-131.
|
17 |
Rao R V. Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems[J].International Journal of Industrial Engineering Computations, 2016,7(1): 19-34.
|
18 |
Afifi M, Rezk H, Ibrahim M N F, et al. Multi-objective optimization of switched reluctance machine design using jaya algorithm (MO-Jaya)[J]. Mathematics, 2021, 9(10): 1107-1125.
|
19 |
王建华,潘宇杰,孙瑞.自适应Jaya算法求解多目标柔性车间绿色调度问题[J].控制与决策,2021,36(7):1714-1722.
|
|
Wang J H, Pan Y J, Sun R. Multi-objective flexible job shop green scheduling problem with self-adaptive Jaya algorithm[J]. Control and Decision, 2021,36(7):1714-1722.
|
20 |
吴亚丽, 付玉龙, 李国婷, 等. 高维多目标头脑风暴优化算法[J]. 控制理论与应用, 2020,37(1):193-204.
|
|
Wu Y L, Fu Y L, Li G T, et al. Many-objective brain storm optimization algorithm[J]. Control Theory & Applications, 2020,37(1):193-204.
|
21 |
Chen L, Chen W Y, Li H W, et al. Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition[J]. Applied Intelligence,2020, 51(9): 143-160.
|
22 |
滕志军,吕金玲,郭力文,等. 一种基于Tent映射的混合灰狼优化的改进算法[J]. 哈尔滨工业大学学报, 2018, 50(11): 40-49.
|
|
Teng Z J, Lv J L, Guo L W, et al. An improved hybrid grey wolf optimization algorithm based on Tent mapping[J]. Journal of Harbin Institute of Technology, 2018, 50(11): 40-49.
|