參考文獻
中文部分:
1.江進豐,“多極值最佳化之模擬退火法策略”,國立台灣科技大學碩士論文,(1995)。2.蘇鴻潤,“模擬退火法演算法之參數選擇”, 國立台灣科技大學碩士論文, (1997)。3.張仁輝,“多階序列式製造系統最佳化生產技術批量流模式之研究”,國立台灣科技大學碩士論文(1996)。英文部分:
1.Aarts, E. H. L., P. J. M. van Laarhoven, J.K. Lenstra, and N.L.J. Ulder (1994),“A computational study of local search shop scheduling ”, ORSA Journal on Computing, 6, 118-125.
2.Adams, Joseph, Egon Balas and Daniel Zawck (1988),“The shifting bottleneck procedure for job shop scheduling”, Management science, 34(3), 391-401.
3.Anderson, E. J., C. A. Glass, C. N. Potts (1995),“Local search in combinatorial optimization: Applications in machine scheduling”, Research Report, No. OR56, University of Southampton.
4.Applegate, D., and W. Cook (1991),“A computational study of the job shop scheduling problem”, ORSA Journal on Computing, 3, 149-156.
5.Balas, E., J. K. Lenstra and A. Vazacopoulos (1995),“One machine scheduling with delayed precedence constraints”, Management Science, 41, 94-109.
6.Barker, Jeffrey R. and Graham B. Mcmahon (1985),“Scheduling the general job-shop”, Management Science, 31(5), 594-598.
7.Barnes, J. W., M. Laguna, and F. Glover (1992),“An overview of tabu search approaches to production scheduling problems”, Proceedings Symposium Intelligent Scheduling System, San Francisco, 30-50.
8.Ben-Daya, M. and M. Al-Fawzan(1996),“A simulated annealing approach for the one-machine mean tardiness scheduling problem”, European Journal of Operational Research 93, 61-67.
9.Brucker P. (1988),“An Efficient Algorithm for The Job-Shop Problem with Two Jobs,” Computing, Vol. 40, pp. 353-359.
10.Brucker, Peter, Bernd Jurisch, Bernd Sievers (1994),“A branch and bound algorithm for the job-shop scheduling problem”, Discrete Applied Mathematics, 49, 107-127.
11.Brucker, Peter, Bernd Jurisch and Andreas Kramer (1994),“The job-shop problem and immediate selection”, Annals of Operation Research, 50 , 73-114.
12.Byeon, Eui-Seok, S. David Wu, Robert H. Storer (1998),“Decomposition Heuristics for Robust Job-Shop Scheduling”, IEEE Transtation Heuristics on Robotics and Automation, 14(2), 303-313.
13.Carlire, J. and E. Pinson (1989),“A practical use of Jackson''s preemptive scheduling for solving the job-shop problem”, Annals of operation Research, 26, 269-287.
14.Carlire, J. and E. Pinson (1990),“An algorithm for solving the job-shop problem”, Management Science, 35(2), 164-176.
15.Cerny, V. (1985),“Thermodynamical Approach to the Traveling Salesman Problem: An efficient simulation algorithm”, Journal of Optimization Theory and Applications 45, 45-51.
16.Chris. Tofallis (1996),“Introduction to Global Optimization”, Journal of the Operational Research Society, Vol. 47, No. 10, pp. 1314-1318.
17.Chu, C., J. M. Proth and C. Wang (1998),“Improving job-shop scheduling through critical pairwise exchanges”, International Journal of Production Research, 36(3), 683-694.
18.Dell’ Amico, M. and M. Trubian (1993),“Applying tabu search to job-shop scheduling problem”, Annals of Operation Research, 41, 231-250.
19.Eglese, R. W. (1990),“Simulated Annealing: A Tool for Operation Research.” European Journal of Operational Research 46, 271-281.
20.Fung, C. C., Ho, S. C. Y. and Nayar, C. V. (1993), ”Optimization of Hybrid Energy.
21.Garret N., Vanderplaats (1993),“Nnmmerical Optimization Techniques for Engineering Design with Applications”, McGraw-Hill, New York.
22.Giffler, B., G. L. Thompson (1960),“Algorithm for Solving Production Scheduling Problem”, Operations Research 8, 487-503.
23.Graves S. C. (1983), Meal H. C., Stefek D., and Zeghmi A. H., “Scheduling of Reentrant Flow Shops,” Journal of Operations Management, Vol. 3, No. 4, pp. 197-207.
24.Hisao I., M. Shinta, and T. Hideo, (1995),“Modified simulated annealing algorithn for thr flow-shop sequencing problem”, European Journal of Operational Research 81, 388-398.
25.Holland J. H. (1962),“Outline for a Logical Theory of Adaptive System”, Journal of Association for Computing Machinery, Vol.3, pp.297-314.
26.Horst R. (1986),“A General Class of Branch-and-Bound Method in Global Optimization with Some New Approaches for Concare Minimization”, Journal of Optimization Theory and Applications, Vol. 51, No. 2, pp. 271-291.
27.Huang H. H., Barzin N., Lewis F. l. (Dec. 1994),“A Matrix Framework For Controller Design for Reentrant Flow Scheduling,” IEEE Transactions on Semiconductor Manufacturing, pp. 1552-1563.
28.Johnson, D. S., C. R. Aragon, L A. McGroch, and C. Schevon (1989), “Optimization by simulated annealing: An experiment evaluation; Part 1, Graph partitioning”, Operations Research 37, 865-893.
29.Kan. Rinnooy, A. H. G. and G. T. Timmer (1989),“Global Optimization: a Survey”, Econometric Institute, Erasmus University, Rotterdan.
30.Kaskavelis C. A., and Caramanis M. C. (1994),“Application of a Lagrangian Relaxation Based Scheduling Algorithm to a Semiconductor Testing Facility,” IEEE Transactions on Semiconductor Manufacturing, pp. 106-112.
31.Kirkpatrick, S., C. Gelatt, Jr., and M. Vecchi (1983),“Optimization by Simulated Annealing”, Science 220, 671-680.
32.Kubiak, W., Lou S. C., and Wang, Y. -M. (1990)“Mean Flow Time Minimization in Reentrant Job-Shop With Hub” Facility of Management, University of Toronto.
33.Kubiak, W., S. C., Lou, and Y. -M. Wang (Oct. 1996),“Mean Flow Time Minimization in Reentrant Job-Shop With Hub” Operation Research, Vol. 44, No. 5, pp. 764-776.
34.Kumar, P. R. (1993),“Re-entrant Lines”, Queueing Systems, 13(1-3), 87-100.
35.Lee C. Y., Uzsoy R., Martin-Vega L. A., and Leonard, P. A. (1991), “Production Scheduling Algorithm For A Semiconductor Facility,” IEEE Transactions on Semiconductor Manufacturing, Vol. 4, No. 4, pp. 270-280.
36.Liao D. Y., Chang S.C., Yen S.R., and Chien C.C. (1993),“Daily Scheduling for R&D Semiconductor Fabrication,” IEEE Transactions on Semiconductor Manufacturing. 77-82.
37.Marangos, C., V. Govande, G. Srinivasan and E. W. Zimmers, Jr. (1998),“Algorithm to minimize completion time variance in a two machine flowshop”, Computers and Industrial Engineering 35, 101-104.
38.May, S.A. and Balling, R.J. (1992),”A Filtered Simulated Annealing Strategy for Discrete Optimization of 3D Steel Frameworks.” Structural Optimization, Vol. 4, pp. 142-148.
39.Metropolis, N., A. Rosenblush, M. Rosenblush, A. Teller, and E. Teller (1953),“Equation of State Calculations by Fast Computing Machine”, Journal of Chemical Physics 21, 1087-1092.
40.Muth, J. F., and G. L. Thompson (1963),“Industrial scheduling”, Prentic-Hall , Englewood Cliffs , N. J. , 236.
41.Osman, I. H., and C. N. Potts (1990),“Simulated annealing permutation flow shop sequencing problem”, OMEGA 19, 551-557.
42.Preston White K. and Ralph V. Rogers (1990),“Job-shop scheduling: Limits of the binary disjunctive formulation”, International Journal of Production Research, 28(12), 2000-2187.
43.Raman, N. (1995),“Input control in job shops”, IIE Transactions, 27, 201-209.
44.Satake, T., K. Morikawa, N. Nakamura, and K. Takahashi (1999), “Simulated Annealing Approach for Minimizing the Makespan of the General Job-shop”, International Journal of Production Economics (60-61), 515-522.
45.Sotskov, Y., NY. Sotskova, F. Werner (1997),“Stability of an Optimal Schedule in a Job Shop”, Omega, International Journal of Management Science, 25(4), 397-414.
46.Sule, D. R., (1996), Industrial Scheduling, PWS Publishing. Boston.
47.Sun, D., R. Batta, and L. Lin (1995),“Effective job shop Scheduling through active chain manipulation”, Computer and Operations Research, 22, 159-172.
48.Sun, D. and R. Batta (1996),“Scheduling larger job shops:adecomposition approach”, International Journal of Production Research, 34(7), 2019-2033.
49.Van Laarhoven, P. J. M., E. H. L. Aarts, and J. K. Lenstra (1992),“Job shop scheduling by simulated annealing”, Operations Research, 40, 113-125.
50.Vepsalainen, Ari P. J. and Thomas E. Morton (1987),“Priority rules for job shops with weighted tardiness costs”, Management Science, 33(8), 1035-1047.
51.Wang M. Y., S. P. Sethi, S.L.V.D. Velde (1997),“Minimizing Makespan in a class of reentrant shops,” Operations Research, Vol. 45,No.5, pp. 702-712.