1 |
Wu X, Chu C H, Wang Y, et al. A Genetic Algorithm for Cellular Manufacturing Design and Layout[J]. European Journal of Operational Research, 2007, 181:156-167.
|
2 |
Feng Y, Li G, Sethi S P S. A Three-layer Chromosome Genetic Algorithm for Multi-cell Scheduling with Flexible Routes and Machine Sharing[J]. International Journal of Production Economics, 2018, 196:269-283.
|
3 |
Sinaki R Y, Sadeghi A, Suer G, et al. A Weighted Multi-Objective Mathematical Model for Cell Scheduling and Environmentally Sustainable Supply Chain Network[J]. Procedia Manufacturing, 2019, 39:1559-1566.
|
4 |
International Energy Agency (IEA), International Energy Outlook 2017[R]. [2017-09-14](2021-03-21) https://www.eia.gov/pressroom/presentations/mead_91417. pdf.
|
5 |
Iqbal N, Aziz M H, Jahanzaib M, et al. Integration of Cell Formation and Job Sequencing to Minimize Energy Consumption with Minimum Make-span[J]. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture(S0954-4054), 2016, 231(14): 2636-2651.
|
6 |
Liu Y, Dong H, Lohse N, et al. A multi-objective Genetic Algorithm for Optimization of Energy Consumption and Shop Floor Production Performance[J]. International Journal of Production Economics(S0925-5273), 2016, 179: 259-272.
|
7 |
Gahm C, Denz F, Dirr M, et al. Energy-efficient Scheduling in Manufacturing Companies: A Review and Research Framework[J]. European Journal of Operational Research(S0377-2217), 2016, 248(3): 744-757.
|
8 |
Yang Y, Huang M, Wang Z Y, et al. Robust Scheduling based on Extreme Learning Machine for Bi-objective Flexible Job-shop Problems with Machine Breakdowns[J]. Expert Systems with Applications(S0957-4174), 2020, 158: 113545.
|
9 |
Tadayonirad S, Seidgar H, Fazlollahtabar H, et al. Robust Scheduling in Two-stage Assembly Flow Shop Problem with Random Machine Breakdowns: Integrated Meta-heuristic Algorithms and Simulation Approach[J]. Assembly Automation(S0144-5154), 2019, 39(5): 944-962.
|
10 |
Li Y, He Y, Wang Y, et al. An Optimization Method for Energy-conscious Production in Flexible Machining Job Shops with Dynamic Job Arrivals and Machine Breakdowns[J]. Journal of Cleaner Production(S0959-6526), 2020, 254:120009.
|
11 |
Sarker R, Omar M, Hasan K S M, et al. Hybrid Evolutionary Algorithm for Job Scheduling under Machine Maintenance[J]. Applied Soft Computing(S1568-4946), 2013, 13(3):1440-1447.
|
12 |
吴虎胜, 张凤鸣, 吴庐山.一种新的群体智能算法—狼群算法[J].系统工程与电子技术, 2013, 35(11): 2430-2438.
|
|
Wu Husheng, Zhang Fengming, Wu Lushan. New Swarm Intelligence Algorithm——wolf Pack Algorithm[J]. Systems Engineering and Electronics, 2013, 35(11): 2430-2438.
|
13 |
Wu H S, Xue J J, Xiao R B, et al. Uncertain Bilevel Knapsack Problem based on an Improved Binary Wolf Pack Algorithm[J]. Frontiers of Information Technology & Electronic Engineering(S2095-9184), 2020, 21(9): 1356-1368.
|
14 |
Xiu-Wu Y U, Hao Y U, Yong L, et al. A Clustering Routing Algorithm based on Wolf Pack Algorithm for Heterogeneous Wireless Sensor Networks[J]. Computer networks(S1389-1286), 2020, 167(Feb.11): 106994.1-106994.10.
|
15 |
Hu J, Wu H, Zhan R, et al. Hybrid Integer-coded Wolf Pack Algorithm for Multiple-Type Flatcars Loading Problem[J]. Journal of Rail Transport Planning & Management(S2210-9706), 2020: 100201.
|
16 |
Chen Y, Jia Z, Ai X, et al. A Modified Two-part Wolf Pack Search Algorithm for the Multiple Traveling Salesmen Problem[J]. Applied Soft Computing(S1568-4946), 2017, 61:714-725.
|
17 |
Chen X Y, Tang C J, Wang J, et al. Improved Wolf Pack Algorithm Based on Differential Evolution Elite Set[J]. IEICE Transactions on Information and Systems(S1745-1361), 2018, E101D (7): 1946-1949.
|
18 |
Passino K M. Biomimicry of Bacterial Foraging for Distributed Optimization and Control[J]. IEEE Control Systems Magazine(S1066-033X), 2002, 22(3): 52-67.
|
19 |
李堂金. 基于狼群算法的模糊时间序列预测模型研究[D]. 重庆: 重庆邮电大学, 2020.
|
|
Li Tangjin. Research on the Fuzzy Time Series Forecasting Model Based on Wolf Pack Algorithm[D]. Chongqing: Chongqing University of Posts and Telecommunications, 2020.
|
20 |
郭立婷. 基于自适应和变游走方向的改进狼群算法[J].浙江大学学报(理学版), 2018, 45(3): 284-293.
|
|
Guo Liting. Improved Wolf Pack Algorithm based on Adaptive Step Length and Adjustable Scouting Direction[J]. Journal of Zhejiang University (Science Edition), 2018, 45(3): 284-293.
|
21 |
Mirjalili S, Lewis A2016. The Whale Optimization Algorithm[J]. Advances in Engineering Software(S0965-9978), 95(5), 51-67.
|
22 |
谢锐强, 张惠珍.求解柔性作业车间调度问题的两段式狼群算法[J].计算机工程与应用, 2021, 57(7): 251-256.
|
|
Xie Ruiqiang, Zhang Huizhen. Two-Vector Wolf Pack Algorithm for Flexible Job Shop Scheduling Problem[J]. Computer Engineering and Applications, 2021, 57(7): 251-256.
|