Computer Science ›› 2021, Vol. 48 ›› Issue (3): 239-245.doi: 10.11896/jsjkx.200300105
• Artificial Intelligence • Previous Articles Next Articles
ZHOU Qiu-yan, XIAO Man-sheng, ZHANG Long-xin, ZHANG Xiao-li, YANG Wen-li
CLC Number:
[1]CHEN Z X.The design and implementation of scheduling system of manufacturing enterprise production line based on APS [D].Shandong:Shandong University,2015. [2]CUI Z P.Model research and application of order management and production scheduling for multi-variety variable green manufacturing [D].Nanjing:Nanjing University of Aeronautics and Astronautics,2019. [3]LUO M F.Study on scheduling optimization of automatic production line in production shop based on multi-objective optimization algorithm(Article)[J].Academic Journal of Manufacturing Engineering,2018,16(3):147-154. [4]HE X M,DONGS H.Multi-target multi-constraint mixed water workshop placement single-order scheduling problem research [J].Engineering Science Journal,2019,41(11):1450-1457. [5]LI X X,DU B G,GUOS S,et al.Production scheduling optimization method for textile machinery manufacturing enterprise based on improved bee algorithm[C]//Proceedings of the 36th Chinese Control Conference(CCC 2017).2017:2805-2811. [6]MENG S,PAN R R,GAOW D,et al.Research on weavingschedule using main objective evolutionary genetic algorithm [J].Journal of Textile,2019,40(8):169-174. [7]ZHOU N,WU M G,ZHOU J X.Research On Power Battery Formation Production Scheduling Problem With Limited Waiting Time Constraints[C]//International Conference on Communication Software and Networks(ICCSN).IEEE,2018:497-501. [8]GARZASANTISTEBAN F,SANCHEZPAMANES R,PUENTE-RODRIGUEZ L A,et al.A simulated annealing hyper-heuristic for job shop scheduling problems[C]//2019 IEEE Congress on Evolutionary Computation(CEC).IEEE,2019:57-64. [9]JIANG Y Q,PAN F C.Improved heuristic algorithm for modern industrial production scheduling[C]//2017 9th International Conference on Modelling,Identification and Control(ICMIC).IEEE,2017:1080-1084. [10]JIANG P,DING J L,GUO Y.Application and dynamic simulation of improved genetic algorithm in production workshop scheduling[J].International Journal of Simulation Modelling,2018,17(1):159-169. [11]ZHANG G,ZHANG L,WANG Y,et al.An effective hybridparticle swarm optimization for flexible job shop scheduling problem[J].Open Automation and Control Systems Journal,2014,6(1):1604-1611. [12]GAO C Y,GAO Y L,LV S S.Improved simulated annealing algorithm for flexible job shop scheduling problems[C]//2016 Chinese Control and Decision Conference(CCDC).IEEE,2016:2191-2196. [13]HERN#xE1;NDEZ-RAMÍREZ L,FRAUSTO-SOLIS J,CASTIL-LA-VALDEZ G,et al.A hybrid simulated annealing for job shop scheduling problem[J].International Journal of Combinatorial Optimization Problems and Informatics,2019,10(1):6-15. [14]LI J,DUAN P,SANGH,et al.An efficient optimization algorithm for resource-constrained steelmaking scheduling problems[J].IEEE Access,2018,6:33883-33894. [15]CAVALCA D L,FERNANDESR A S.Hybrid Particle Swarm Algorithm Applied to Flexible Job-Shop Problem[C]//2018 IEEE Congress on Evolutionary Computation.IEEE,2018:1-6. [16]CHANSOMBAT S,MUSIKAPUN P,PONGCHAROEN P,et al.A Hybrid Discrete Bat Algorithm with Krill Herd-based advanced planning and scheduling tool for the capital goods industry[J].International Journal of Production Research,2019,57(21):6705-6726. [17]GUO K,YANG M,ZHU H.Application research of improved genetic algorithm based on machine learning in production scheduling[J].Neural Computing and Applications,2020,32:1857-1868. [18]QIN H B,FAN P F,TANG H T,et al.An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint[J].Computers & Industrial Engineering,2019,128:458-476. [19]LIU X,SHANG Y,BAI A.Research on job shop productionschedule model based on mixed set programming theory [J].Manufacturing automation,2015,37(23):39-43. [20]XIAO Y Y,WANG M,GUO L Q,et al.Intelligent manufacturing plan management based on digital twins [J].Journal of System Simulation,2019,31(11):2323-2334. [21]BITNER J,REINGOLD E M.Backtrack programming tech-niques[J].Communications of the ACM,1975,18(11):651-656. [22]LI L,QIAO F,TIAN X Y.Ant colony optimization based scheduling method for wafer fabs [J].Journal of Tsinghua University(Natural Science Edition),2007(S2):1890-1894. |
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