2McKay K N,Wiers V C S.Unifying the Theoryand Practice of Production Scheduling [J]. Journal of Manufacturing System, 1999,18 (4) : 241-255.
3Gu Wen Bin, Tang Dun Bing, Zun Kun. Minimizing Makespan in Job-shop Scheduling Problem Using an Improved Adaptive Particle Swarm Optimiztion Algorithm [C]. Chinese Control and Decision Coference (CCDC):Tai Yuan,2012.
1HALL N G,SRISKANDARAJAH C. A Survey of machine scheduling problems with blocking and no-wait in process [ J ]. Operations Research, 2005,44 ( 3 ) : 510-525.
2KONAK A, COIT D, SMITH A. Multi-objective optimization using genetic algorithm: a tutorial [ J ]. Reliability Engineering and System Safety,2006,91 (9) :992-1007.
3CARLOS A, GREGORIO T, MAXIMINO S. Handing muhiple objectives with particle swarm optimization [ J ]. IEEE Transactions on Evolutionary Computation, 2004, 8 (3) :256-279.
4SAKAWA M, KUBOTA R. Fuzzy programming for multi- objective job-shop scheduling with fuzzy processing time and fuzzy due date through genetic algorithm[ J ]. European Journal of Operational Research ,2000,12 ( 2 ) :393-407.
5TADAHIKO M, ISHIBUCHI H, HIDEO T. Multi-objective genetic algorithm and its application to flow shop scheduling [ J ]. Computers and Engineering, 1996,30 ( 4 ) : 957 -968.
6ALLAHVERDI A,ALDOWAISAN T. New heuristics form- machine no-wait flow shop to minimize total completion time [ J ]. The International Journal of Management Science, 2004, ( 32 ) : 345 -352.
7KACEM I, HAMMADI S, BORNE P. Pareto-optimality approach for flexible job scheduling problems:hybridization of evolutionary algorithms and fuzzy logic [ J ]. Mathematics and Computers in Simulation ,2002,60( 3-5 ) :245-276.