Chinese Journal of Management Science ›› 2022, Vol. 30 ›› Issue (9): 217-231.doi: 10.16381/j.cnki.issn1003-207x.2020.1096
• Articles • Previous Articles Next Articles
HU Xue-jun1, ZHAO Yan2, SHAN Mi-yuan1, WANG Jian-jiang3, BIE Li4
Received:
2020-06-09
Revised:
2020-09-29
Online:
2022-09-20
Published:
2022-09-01
Contact:
赵雁
E-mail:zydxd@zuel.edu.cn
CLC Number:
HU Xue-jun, ZHAO Yan, SHAN Mi-yuan, WANG Jian-jiang, BIE Li. An Adaptive Large Neighborhood Search Metaheuristic for Robust Multi-project Scheduling[J]. Chinese Journal of Management Science, 2022, 30(9): 217-231.
[1] Lova A, Maroto C, Tormos P. A multicriteria heuristic method to improve resource allocation in multiproject scheduling[J]. European Journal of Operational Research, 2000, 127(2): 408-424. [2] Laslo Z, Goldberg A I. Resource allocation under uncertainty in a multi-project matrix environment: Is organizational conflict inevitable?[J]. International Journal of Project Management, 2008, 26(8): 773-788. [3] 寿涌毅. 资源受限多项目调度的模型与方法[M]. 杭州: 浙江大学出版社, 2010.Shou Yongyi. Resource-constrained multi-project scheduling models and methods[M]. Hangzhou: Zhejiang University Press, 2010. [4] Asta S, Karapetyan D, Kheiri A, et al. Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem[J]. Information Sciences, 2016, 373:476-498. [5] Browning T R, Yassine A A. Resource-constrained multi-project scheduling: Priority rule performance revisited[J]. International Journal of Production Economics, 2010, 126(2): 212-228. [6] 徐赐军, 李爱平, 刘雪梅. 基于资源推拉技术的多项目调度算法[J]. 计算机集成制造系统, 2010, 16(6): 1246-1254.Xu Cijun, Li Aiping, Liu Xuemei. Multi-project scheduling algorithm based on resource push-pull technology[J]. Computer Integrated Manufacturing Systems, 2010, 16(6): 1246-1254. [7] 刘东宁, 徐哲, 李飞飞. 基于合作博弈协商机制的分布式资源受限多项目调度[J]. 系统工程理论与实践, 2019, 39(6): 1507-1516.Liu Dongning, Xu Zhe, Li Feifei. Distributed resource constrained multi-project scheduling problem with cooperative-game based negotiation mechanism[J]. Systems Engineering - Theory & Practice, 2019, 39(6): 1507-1516. [8] Be瘙塂ikci U, mit B, Ulusoy G. Resource dedication problem in a multi-project environment[J]. Flexible Services and Manufacturing Journal, 2013, 25(1): 206-229. [9] Be瘙塂ikci U, mit B, Ulusoy G. Multi-mode resource constrained multi-project scheduling and resource portfolio problem[J]. European Journal of Operational Research, 2015, 240(1): 22-31. [10] Liu Jing, Lu Ming. Robust dual-level optimization framework for resource-constrained multiproject scheduling for a prefabrication facility in construction[J]. Journal of Computing in Civil Engineering, 2019, 33(2): 04018067. [11] 胡雪君, 崔南方, 赵雁. 基于活动工期风险和资源约束风险的缓冲大小计算方法[J]. 控制与决策, 2016, 31(8): 1513-1518.Hu Xuejun, Cui Nanfang, Zhao Yan. Buffer sizing method based on activity duration risk and resource[J]. Control and Decision, 2016, 31(8): 1513-1518. [12] 田文迪, 胡慕海, 崔南方. 不确定性环境下鲁棒性项目调度研究综述[J]. 系统工程学报, 2014, 29(1): 135-144.Tian Wendi, Hu Muhai, Cui Nanfang. Review of studies on robust project scheduling under uncertainty[J]. Journal of Systems Engineering, 2014, 29(1): 135-144. [13] Wang J, Hu X, Demeulemeester E, et al. A bi-objective robust resource allocation model for the RCPSP considering resource transfer costs[J]. International Journal of Production Research, 2019, DOI: 10.1080/00207543.2019.1695168. [14] 马咏, 何正文, 郑维博. 基于柔性资源约束的前摄性项目调度优化研究[J]. 中国管理科学, 2020, 28(7): 220-230.Ma Yong, He Zhengwen, Zheng Weibo. Proactive project scheduling optimization based on flexible resource constraint[J]. Chinese Journal of Management Science, 2020, 28(7): 220-230. [15] 崔南方, 梁洋洋. 基于资源流网络与时间缓冲集成优化的鲁棒性项目调度[J]. 系统工程理论与实践, 2018, 38(1):102-112.Cui Nanfang, Liang Yangyang. Robust project scheduling based on the integrated optimization between resource flow network and time buffers[J]. Systems Engineering-Theory & Practice, 2018, 38(1):102-112. [16] 张静文, 周杉, 乔传卓. 基于时差效用的双目标资源约束型鲁棒性项目调度优化[J]. 系统管理学报, 2018, 27(2): 299-308.Zhang Jingwen, Zhou Shan, Qiao Chuanzhuo. A bi-objective robust resource-constrained project scheduling problem with utility functions of activity floats[J]. Journal of Systems &. Management, 2018, 27(2): 299-308. [17] 张立辉, 邹鑫, 黄元生, 等. 重复性项目调度模型的时差分析[J]. 中国管理科学, 2018, 26(6):95-103.Zhang Lihui, Zou Xin, Huang Yuansheng, el al. Float analysis in repetitive scheduling model[J]. Chinese Journal of Management Science, 2018, 26(6):95-103. [18] Lambrechts O, Demeulemeester E, Herroelen W. A tabu search procedure for developing robust predictive project schedules[J]. International Journal of Production Economics, 2008, 111(2): 493-508. [19] Palomo-Martínez P J, Salazar-Aguilar M A, Laporte G. Planning a selective delivery schedule through adaptive large neighborhood search[J]. Computers & Industrial Engineering, 2017, 112: 368-378. [20] Kiefer A, Hartl R F, Schnell A. Adaptive large neighborhood search for the curriculum-based course timetabling problem[J]. Annals of Operations Research, 2017, 252(2): 1-28. [21] Gomes H C, Neves F D A D, Souza M J F. Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations[J]. Computers & Operations Research, 2014, 44: 92-104. [22] Artigues C, Michelon P, Reusser S. Insertion techniques for static and dynamic resource-constrained project scheduling[J]. European Journal of Operational Research, 2003, 149(2): 249-267. [23] Sun Jing, Miao Zhuang, Gong Dunwei, et al. Interval multiobjective optimization with memetic algorithms[J]. IEEE Transactions on Cybernetics, 2019, (99):1-14. [24] Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6: 182-197. [25] Demeulemeester E, Vanhoucke M, Herroelen W. RanGen: A random network generator for activity-on-the-node networks[J]. Journal of Scheduling, 2003, 6(1):17-38. [26] Tabrizi B H, Ghaderi S F. A robust bi-objective model for concurrent planning of project scheduling and material procurement[J]. Computers & Industrial Engineering, 2016, 98: 11-29. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|