自动化技术、电气工程 |
|
|
|
|
基于离散量子微粒群优化的作业车间调度 |
张建明, 谢磊, 毛婧敏, 董方 |
浙江大学 智能系统与控制研究所,工业控制技术国家重点实验室,浙江 杭州 310027 |
|
Discrete quantum-behaved particle swarm optimization
for job-shop scheduling |
ZHANG Jian-ming, XIE Lei, MAO Jing-min, DONG Fang |
Institute of CyberSystems and Control, State Key Laboratory of Industrial Control Technology,
Zhejiang University, Hangzhou 310027, China |
引用本文:
张建明, 谢磊, 毛婧敏, 董方. 基于离散量子微粒群优化的作业车间调度[J]. J4, 2012, 46(5): 842-847.
ZHANG Jian-ming, XIE Lei, MAO Jing-min, DONG Fang. Discrete quantum-behaved particle swarm optimization
for job-shop scheduling. J4, 2012, 46(5): 842-847.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.05.011
或
http://www.zjujournals.com/eng/CN/Y2012/V46/I5/842
|
[1] RODAMMER F A,WHITE K P. A recent survey of production scheduling [J]. Systems, Man and Cybernetics, IEEE Transactions on, 1988. 18(6): 841-851.
[2] WANG Y, CHEN H P,SHAO H. Minimizing makespan for parallel batch processing machines with nonidentical job sizes using quantumbehaved particle swarm optimization [J]. Intelligent Decision Making Systems, 2010. 2(1): 32-39.
[3] EBERHART R,KENNEDY J. A new optimizer using particle swarm theory [C] ∥Proceedings of the Sixth International Symposium on Micro Machine and Human Science. Nagoya: IEEE press, 1995: 39-43.
[4] SUN J, XU W,FENG B. A global search strategy of quantumbehaved particle swarm optimization [C] ∥Cybernetics and Intelligent Systems, 2004 IEEE Conference on. Singapore: IEEE press, 2004: 111-116.
[5] ZHOU D, SUN J, LAI C H, et al. An improved quantumbehaved particle swarm optimization and its application to medical image registration [J]. International Journal of Computer Mathematics, 2011. 88(6): 1208-1223.
[6] TIAN N, SUN J, XU W B, et al. An improved quantumbehaved particle swarm optimization with perturbation operator and its application in estimating groundwater contaminant source [J]. Inverse Problems in Science and Engineering, 2011. 19(2): 181-202.
[7] SUN C F,LU S F. Shortterm combined economic emission hydrothermal scheduling using improved quantumbehaved particle swarm optimization [J]. Expert Systems with Applications, 2010. 37(6): 4232-4241.
[8] COELHO L D. Gaussian quantumbehaved particle swarm optimization approaches for constrained engineering design problems [J]. Expert Systems with Applications, 2010. 37(2): 1676-1683.
[9] HUANG Z, WANG Y J, YANG C J, et al. A new improved quantumbehaved particle swarm optimization model [C] ∥2009 4th Ieee Conference on Industrial Electronics and Applications. Xi’an: IEEE press, 2009: 1551-1555.
[10] BEAN J C. Genetic algorithms and random keys for sequencing and optimization [J]. ORSA Journal on Computing, 1994. 6(2): 154-160.
[11] MURATA T, ISHIBUCHI H,TANAKA H. Genetic algorithms for flowshop scheduling problems [J]. Computers & Industrial Engineering, 1996. 30(4): 1061-1071.
[12] DUAN H B,XING Z H. Improved quantum evolutionary computation based on particle swarm optimization and twocrossovers [J]. Chinese Physics Letters, 2009. 26(12): 147-153.
[13] CHENG H C, CHIANG T C,FU L C. A twostage hybrid memetic algorithm for multiobjective job shop scheduling [J]. Expert Systems with Applications, 2011. 38(9): 10983-10998.
[14] WANG L,ZHENG D Z. An effective hybrid optimization strategy for jobshop scheduling problems [J]. Computers & Operations Research, 2001. 28(6): 585-596.
[15] SHA D Y,HSU CY. A hybrid particle swarm optimization for job shop scheduling problem [J]. Computers & Industrial Engineering, 2006. 51(4): 791-808. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|