| H. Fang. Genetic Algorithms in Timetabling and Scheduling. PhD dissertation, University of Edinburgh, September 1994. |
....on the Job Shop Scheduling Problem (JSSP) has concentrated on static JSSP. In this version of the problem, all of the jobs are known in advance and no changes occur. In the dynamic job shop scheduling problem, new jobs can arrive after processing begins. Only a few evolutionary approaches ([Fang, 1994], Lin, et al. 1997a] Hart, et al. 1998] and [Bierwirth, et al. 1998] have been applied to the dynamic case. The objective of this study is to evaluate the effectiveness of a genetic algorithm using order based operators combined with the Giffler and Thompson algorithm as a repair method for ....
....vs. indirect representations, as well as hybrid Genetic Algorithms and parallel Genetic Algorithms [Bagchi, et al. 1991] Nakano, et al. 1991] Bruns, 1993] Yamada, et al. 1992] Few GA approaches have been developed to solve the DJSSP. Four GA approaches have been previously published: [Fang, 1994] [Lin, et al. 1997a] Hart, et al. 1998] and [Biertwirth, et al. 1999] All of the previous approaches, except Fang s algorithm, are based on the generation of active (Giffler and Thomson algorithm) and non delay (ND) schedules. Inspired by the GT algorithm Lin, Goodman and Punch [Lin, et ....
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: H. Fang. Ph.D. Thesis. "Genetic Algorithms in Timetabling and Scheduling", Department of Artificial Intelligence. University of Edinburgh, Scotland.
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H. Fang. Genetic Algorithms in Timetabling and Scheduling. PhD dissertation, University of Edinburgh, September 1994.
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H. Fang. Genetic Algorithms in Timetabling and Scheduling. PhD dissertation, University of Edinburgh, September 1994.
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Fang, H. L. (1994) "Genetic Algorithms in Timetabling and Scheduling", PhD thesis , Department of Artificial Intelligence, University of Edinburgh, Scotland.
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Fang, H.-L., 1994, `Genetic Algorithms in Timetabling and Scheduling' PhD thesis, Department of Artificial Intelligence, University of Edinburgh.
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