Citation: | ZHANG Fa-ping, SUN Hou-fang. Genetic Algorithm Based Production Planning for Alternative Process Production[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2009, 18(3): 278-282. |
[1] |
Nasr N, Elsayed E A. Job shop scheduling with alternative machines[J]. International Journal of Production Research, 1990, 28(9): 1959-1609.
|
[2] |
Tailard E. Some efficient heuristic methods for the low shop sequencing problem[J]. Euro Operation Res, 1990, 147(1):65-74.
|
[3] |
Manuel L, Barnes J W, Glover F. Intelligent scheduling with faun search: An application of jobs with linear delay penalties and sequence dependent setup costs and times[J]. Applied Intelligence, 1993, 3:159-172.
|
[4] |
Hisao I, Shina M, Hides T. Modified simulated annealing algorithms for the flow shop sequencing problem[J]. Euro J of Operation Research, 1995, 81:388-398.
|
[5] |
Mittenthal J, Madabhush R, Arif I R. A hybrid simulated annealing approach of single machine scheduling problems with non regular penalty functions[J]. Computers Operation Res, 1986, 13(5): 533-549.
|
[6] |
Tian Ying, Jiang Pingyu, Zhou Guanghui. Research on part multiple process routes decision-making based on ant colony algorithm[J]. Computer Integrated Manufacturing Systems, 2006, 12(6):882-887.
|
[7] |
Pan Quakes, Zhu Jianying. An efficient algorithm for job shop scheduling problems with fuzzy processing time, fuzzy due date and alternative machines . Chinese Mechanical Engineering. 2004 (24):2199-2202.
|
[8] |
Tet I R, Kumara S R T. Intelligent computing methods for manufacturing systems[J]. Annals of the CIRP, 1997, 46(2): 629-652. (Edited by
|