[1]PEI Xiaobing,SUN Zhiwei.Solving distributed-shop scheduling problems based on modified genetic algorithm[J].CAAI Transactions on Intelligent Systems,2021,16(2):303-312.[doi:10.11992/tis.201906035]
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Solving distributed-shop scheduling problems based on modified genetic algorithm

References:
[1] JIA H Z, FUH J Y H, NEE A Y C, et al. Web-based multi-functional scheduling system for a distributed manufacturing environment[J]. Concurrent engineering, 2002, 10(1):27-39.
[2] 谢志强, 周含笑, 桂忠艳, 等. 基于拟关键路径的二车间综合调度算法[J]. 计算机科学, 2013, 40(4):193-198
XIE Zhiqiang, ZHOU Hanxiao, GUI Zhongyan, et al. Integrated scheduling algorithm of two workshops based on ACPM[J]. Computer science, 2013, 40(4):193-198
[3] BARGAOUI H, DRISS O B, GHéDIRA K. Minimizing makespan in multi-factory flow shop problem using a chemical reaction metaheuristic[C]//Proceedings of 2016 IEEE Congress on Evolutionary Computation. Vancouver, Canada, 2016.
[4] 谢志强, 郭禾, 苏文秀, 等. 存在多工序同时结束的多车间逆序综合调度算法[J]. 吉林大学学报(工学版), 2018, 48(2):578-587
XIE Zhiqiang, GUO He, SU Wenxiu, et al. Reversal sequence integrated scheduling algorithm of multiple workshop with multi-procedures ended together[J]. Journal of Jilin University (Engineering and Technology Edition), 2018, 48(2):578-587
[5] 王凌, 邓瑾, 王圣尧. 分布式车间调度优化算法研究综述[J]. 控制与决策, 2016, 31(1):1-11
WANG Ling, DENG Jin, WANG Shengyao. Survey on optimization algorithms for distributed shop scheduling[J]. Control and decision, 2016, 31(1):1-11
[6] AZAB A, NADERI B. Greedy heuristics for distributed job shop problems[J]. Procedia CIRP, 2014, 20:7-12.
[7] ZHANG Rui, SONG Shiji, WU Cheng. A dispatching rule-based hybrid genetic algorithm focusing on non-delay schedules for the job shop scheduling problem[J]. The international journal of advanced manufacturing technology, 2013, 67(1/2/3/4):5-17.
[8] GAREY M R, JOHNSON D S, SETHI R. The complexity of flowshop and jobshop scheduling[J]. Mathematics of operations research, 1976, 1(2):117-129.
[9] WAGNER H M. An integer linear-programming model for machine scheduling[J]. Naval research logistics quarterly, 1959, 6(2):131-140.
[10] JIA H Z, NEE A Y C, FUH J Y H, et al. A modified genetic algorithm for distributed scheduling problems[J]. Journal of intelligent manufacturing, 2003, 14(3/4):351-362.
[11] 王和敏, 谷淼, 魏志谦, 等. 基于混合遗传算法的Job Shop问题研究与实现[J]. 新技术新工艺, 2017(8):69-73
WANG Hemin, GU Miao, WEI Zhiqian, et al. The Research and implement of Job Shop problem based on hybrid genetic algorithm[J]. New technology & new process, 2017(8):69-73
[12] NADERI B, AZAB A. Modeling and heuristics for scheduling of distributed job shops[J]. Expert systems with applications, 2014, 41(17):7754-7763.
[13] CHAOUCH I, DRISS O B, GHEDIRA K. A modified ant colony optimization algorithm for the distributed job shop scheduling problem[J]. Procedia computer science, 2017, 112:296-305.
[14] NADERI B, AZAB A. An improved model and novel simulated annealing for distributed job shop problems[J]. The international journal of advanced manufacturing technology, 2015, 81(1/2/3/4):693-703.
[15] 杨敬松, 夏秀峰, 崔广才. 混合遗传算法在分布式车间作业调度中的应用[J]. 计算机工程与应用, 2005, 41(19):213-215, 225
YANG Jingsong, XIA Xiufeng, CUI Guangcai. The Distribution method of planning and scheduling based on a hybrid genetic algorithm[J]. Computer engineering and applications, 2005, 41(19):213-215, 225
[16] 高雪瑶, 谭涛, 张春祥. 遗传退火算法的模型相似性计算方法[J]. 哈尔滨工程大学学报, 2020, 41(7):1073-1079
GAO Xueyao, TAN Tao, ZHANG Chunxiang. Method of calculating model similarity based on genetic annealing algorithm[J]. Journal of Harbin Engineering University, 2020, 41(7):1073-1079
[17] CHANG P C, HUANG W H, WU J L, et al. A block mining and re-combination enhanced genetic algorithm for the permutation flowshop scheduling problem[J]. International journal of production economics, 2013, 141(1):45-55.
[18] CHANG P C, CHEN Menghui. A block based estimation of distribution algorithm using bivariate model for scheduling problems[J]. Soft computing, 2014, 18(6):1177-1188.
[19] 裴小兵, 于秀燕. 改进猫群算法求解置换流水车间调度问题[J]. 智能系统学报, 2019, 14(4):769-778
PEI Xiaobing, YU Xiuyan. Improved cat swarm optimization for permutation flow shop scheduling problem[J]. CAAI transactions on intelligent systems, 2019, 14(4):769-778
[20] 张敏, 汪洋, 方侃. 基于改进区块进化算法求解置换流水车间问题[J]. 计算机集成制造系统, 2018, 24(5):1207-1216
ZHANG Min, WANG Yang, FANG Kan. Improved block-based evolutionary algorithm for solving permutation flowshop scheduling problem[J]. Computer integrated manufacturing system, 2018, 24(5):1207-1216
[21] 裴小兵, 张春花. 应用改进区块遗传算法求解置换流水车间调度问题[J]. 智能系统学报, 2019, 14(3):541-550
PEI Xiaobing, ZHANG Chunhua. An improved puzzle-based genetic algorithm for solving permutation flow-shop scheduling problems[J]. CAAI transactions on intelligent systems, 2019, 14(3):541-550
[22] CHAOUCH I, DRISS O B, GHEDIRA K. A survey of optimization techniques for distributed job shop scheduling problems in multi-factories[C]//Proceedings of the 6th Computer Science On-line Conference. Cham, Germany, 2017.
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