Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 668-672.doi: 10.11896/jsjkx.210300118
• Interdiscipline & Application • Previous Articles
ZHANG Ju, LI Xue-yun
CLC Number:
[1] LIU Y Z,LI M G,DU H.Robust H-∞ control of NCS with delay and packet dropout[J].Control and Decision,2014,29(3):517-522. [2] AHMADI E,ZANDIEH M,FARROKH M,et al.A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms[J].Computers & Operations Research,2016,73:56-66. [3] FANG D J,HUANG Z Y.Method of parallel optimization of facility layout and production scheduling for reconfigurable hybrid flow production line[J].Logistics Technology,2019,38(7):117-122. [4] EBRAHIMIPOUR V,NAJJARBASHI A,SHEIKHALISHAHI M.Multi-objective modeling for preventive maintenance scheduling in a multiple production line[J].Journal of Intelligent Manufacturing,2013,26(1):1-12. [5] FLETCHER M,DEEN S M.Task rescheduling in multi-agent manufacturing[C]//Tenth International Workshop on Database and Expert Systems Applications.IEEE Computer Society,1999. [6] LU Z Q,HU X M,ZHU H W.Dynamic scheduling method for aircraft moving assembly line under uncertain supply of material[J].Journal of Tongji University (Natural Science),2019,47(5):723-730,738. [7] MAO Y N,TANG Q H,ZHANG L P,et al.Mathematic model for automated mixed production line scheduling problem with multi-capacity machines[J].Computer Integrated Manufacturing Systems,2019,25(7):1717-1728. [8] LI H,ZHANG Y,YE Q H,et al,Research on flexible production line scheduling with lot streaming and setup times [J].Industrial Engineering and Management,2020,25(3):179-187. [9] JIA Z H,CHEN H P,SUN Y H.Hybrid particle swarm optimization for flexible job-shop scheduling[J].Journal of System Simulation,2007(20):4743-4747. [10] ŠUCHA B L,ZDENĚK P H.Solving the Resource Constrained Project Scheduling Problem using the parallel Tabu Search designed for the CUDA platform[M].Academic Press,Inc.2015. [11] THOMAS P R,SALHI S.A Tabu Search Approach for the Resource Constrained Project Scheduling Problem[J].Journal of Heuristics,1998,4(2):123-139. [12] ZDENĚK H,SUCHA P.Time symmetry of resource constrained project scheduling with general temporal constraints and take-give resources[J].Annals of Operations Research,2016,248:209-217. [13] ZENG B,LI M F,ZHANG Y,et al.Research on assembly sequence planning based on firefly algorithm[J].Journal of Mechanical Engineering,2013,49(11):177-184. [14] HUANG Q,ZHOU Q H,ZHANG Q,et al.Layout optimization of dip dyeing workshop based on system layout planning-genetic algorithm[J].Journal of Textile Research,2020,41(3):84-90. [15] WU Q D,MA Y M,LI L,et al.Data-driven dynamic scheduling method for semiconductor production line[J].Control Theory & Applications,2015,32(9):1233- 1239. [16] ZHU G Y,XU W J.Multi-objective flexible job shop scheduling method for machine tool component production line considering energy consumption and quality [J].Control and Decision,2019,34(2):252-260. [17] LUO T H,LIANG S,HE Z Y,et al.Path planning of robot based on glowworm swarm optimization algorithm of scene understanding[J].Journal of Computer Applications,2017,37(12):3608-3613. [18] HAO X Y,HE X S,XUE J J.A cuckoo initialization of fireflyalgorithm and its engineering application[J].Computer Technology and Development,2018,28(12):167-170,175. [19] NIU H F,SONG W P,NING A P.Hybrid search algorithm on particle swarm optimization and levy flight[J].Journal of Taiyuan University of Science and Technology,2016,37(1):6-11. [20] WANG X W,YAN Y X,GU X S.Welding robot path planning based on Levy-PSO[J].Control and Decision,2017,32(2):373-377. [21] YU S H,SU S B.Research and application of chaotic glowworm swarm optimization algorithm[J].Journal of Frontiers of Computer Science & Technology,2014,8(3):352-358. |
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