[1] 潘玉霞,谢光,肖衡. 离散和声求解带启动时间批量流水线调度问题[J]. 计算机应用, 2014, 34(2):528-532. (PAN Y X, XIE G, XIAO H. Discrete harmony search algorithm for lot-streaming flow shop scheduling problem with setup time[J]. Journal of Computer Applications, 2014, 34(2):528-532.) [2] REITER S. A system for managing job-shop production[J]. The Journal of Business, 1966, 39(3):371-393. [3] PAN Q, RUIZ R. An estimation of distribution algorithm for lot-streaming flow shop problems with setup times[J]. Omega, 2012, 40(2):166-180. [4] SANG H, PAN Q, DUAN P, et al. An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems[J]. Journal of Intelligent Manufacturing, 2018, 29(6):1337-1349. [5] MENG T, PAN Q, LI J, et al. An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem[J]. Swarm and Evolutionary Computation, 2018, 38:64-78. [6] DUMAN E, UYSAL M, ALKAYA A F. Migrating birds optimization:a new metaheuristic approach and its performance on quadratic assignment problem[J]. Information Sciences, 2012, 217:65-77. [7] ZHANG B, PAN Q, GAO L, et al. An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming[J]. Applied Soft Computing, 2017, 52:14-27. [8] SIOUD A, GAGNÉ C. Enhanced migrating birds optimization algorithm for the permutation flow shop problem with sequence dependent setup times[J]. European Journal of Operational Research, 2018, 264(1):66-73. [9] NIROOMAND S, HADI-VENCHEH A, SAHIN R, et al. Modified migrating birds optimization algorithm for closed loop layout with exact distances in flexible manufacturing systems[J]. Expert Systems with Applications, 2015, 42(19):6586-6597. [10] TONGUR V, ÜLKER E. The analysis of migrating birds optimization algorithm with neighborhood operator on traveling salesman problem[C]//Proceedings of the 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems. Berlin:Springer, 2016:227-237. [11] NARAYANAN A, MOORE M. Quantum-inspired genetic algorithms[C]//Proceedings of the 1996 IEEE International Conference on Evolutionary Computation. Piscataway:IEEE, 1996:61-66. [12] HAN K H, KIM J H. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(6):580-593. [13] 王铮,杨卫波,王万良,等. 基于量子进化算法的多轮廓路径优化[J]. 计算机集成制造系统, 2017, 23(10):2128-2135.(WANG Z, YANG W B, WANG W L, et al. Path optimization for multi-contour based on quantum evolutionary algorithm[J]. Computer Integrated Manufacturing Systems, 2017, 23(10):2128-2135.) [14] 李士勇,李盼池. 量子计算与量子优化算法[M]. 哈尔滨:哈尔滨工业大学出版社, 2009:86-100. (LI S Y, LI P C. Quantum Computation and Quantum Optimization Algorithms[M]. Harbin:Harbin Institute of Technology Press, 2009:86-100.) [15] FRAMINAN J M, LEISTEN R. An efficient constructive heuristic for flowtime minimisation in permutation flow shops[J]. Omega, 2003, 31(4):311-317. [16] 谢展鹏. 基于候鸟优化算法的有限缓冲区流水车间调度优化研究[D].武汉:华中科技大学, 2015:11-21. (XIE Z P. Migrating birds optimization algorithm for flow shop scheduling problem with limited buffers[D]. Wuhan:Huazhong University of Science and Technology, 2015:11-21.) [17] 齐学梅,王宏涛,陈付龙,等. 求解多目标PFSP的改进遗传算法[J]. 计算机工程与应用, 2015, 51(11):242-247. (QI X M, WANG H T, CHEN F L, et al. Improved genetic algorithm for multi-objective of PFSP[J]. Computer Engineering and Applications, 2015, 51(11):242-247.) [18] RUIZ R, PAN Q, NADERI B. Iterated greedy methods for the distributed permutation flowshop scheduling problem[J]. Omega, 2019, 83:213-222. [19] QI X, WANG H, ZHU H, et al. Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization[J]. International Journal of Production Research, 2016, 54(16):4957-4972. [20] CHENG B, CHANG C. A study on flowshop scheduling problem combining Taguchi experimental design and genetic algorithm[J]. Expert Systems with Applications, 2007, 32(2):415-421. [21] NOUIRI M, BEKRAR A, JEMAI A, et al. An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem[J]. Journal of Intelligent Manufacturing, 2018, 29(3):603-615. [22] ZHU H, QI X, CHEN F, et al. Quantum-inspired cuckoo co-search algorithm for no-wait flow shop scheduling[J]. Applied Intelligence, 2019, 49(2):791-803. |