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Abstract: This thesis investigates the use of genetic algorithms (GAs) for solving a range of timetabling and scheduling problems. Such problems are very hard in general, and GAs offer a useful and successful alternative to existing techniques. A framework is presented for GAs to solve modular timetabling problems in educational institutions. The approach involves three components: declaring problemspecific constraints, constructing a problem-specific evaluation function and using a problem-independent... (Update)
Context of citations to this paper: More
...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...
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BibTeX entry: (Update)
: H. Fang. Ph.D. Thesis. "Genetic Algorithms in Timetabling and Scheduling", Department of Artificial Intelligence. University of Edinburgh, Scotland. http://citeseer.ist.psu.edu/fang94genetic.html More
@misc{ fang-genetic,
author = "H. Fang and P. Thesis",
title = "Genetic Algorithms in Timetabling and Scheduling",
text = ": H. Fang. Ph.D. Thesis. Genetic Algorithms in Timetabling and Scheduling,
Department of Artificial Intelligence. University of Edinburgh, Scotland.",
url = "citeseer.ist.psu.edu/fang94genetic.html" }
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