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Genetic Algorithms in Timetabling and Scheduling (1994)  (Make Corrections)  (5 citations)
Hsiao-Lan Fang



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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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Very Large-Scale Neighborhood Search - Techniques In Timetabling   (Correct)
Edmund K. Burke, Hana Rudov (Eds.) - Practice And Theory (2006)   (Correct)
Final Exam Scheduler - FES - Ozcan, Ersoy (2005)   (Correct)

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1.9:   Successful Lecture Timetabling with Evolutionary Algorithms - Ross, Corne, Fang (1994)   (Correct)
1.9:   An Indexed Bibliography of Genetic Algorithms in Manufacturing - Alander (1995)   (Correct)
1.1:   A State-Of-The-Art Review Of Job-Shop Scheduling Techniques - Jain, Meeran (1998)   (Correct)

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0.3:   Evolutionary Timetabling: Practice, Prospects and Work in.. - Corne, Ross, Fang (1994)   (Correct)
0.3:   Improving Evolutionary Timetabling with Delta Evaluation and .. - Ross, Corne, Fang (1994)   (Correct)
0.3:   University Timetabling using Constraint Logic Programming - Goltz, Matzke (1999)   (Correct)

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3:   A memetic algorithm for university exam timetabling - Burke, Newall et al. - 1996
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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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