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Subject:      FAQ: comp.ai.genetic part 3/6 (A Guide to Frequently Asked Questions)
From:         David.Beasley@cs.cf.ac.uk (David Beasley)
Date:         1996/12/16
Message-Id:   <part3_850729073@cs.cf.ac.uk>

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Whitley, D., Starkweather, T. & D'Ann Fuquay (1989) "Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator", [ICGA89], 133-140. Fang, H.-L., Ross, P., & Corne D. (1993) "A Promising Genetic Algorithm Approach to Job-Shop Scheduling, Rescheduling & Open-Shop Scheduling Problems", [ICGA93], 375-382. Yamada, T. & Nakano, R. (1992) "A Genetic Algorithm Applicable to Large-Scale Job-Shop Problems", [PPSN92], 281-290. Langdon, W.B. (1995) "Scheduling Planned Maintenance of the (UK) National Grid", cs.ucl.ac.uk:/genetic/papers/grid_aisb-95.ps MANAGEMENT SCIENCES "Applications of EA in management science and closely related fields like organizational ecology is a domain that has been covered by some EA researchers - with considerable bias towards scheduling problems. Since I believe that EA have considerable potential for applications outside the rather narrow domain of scheduling and related combinatorial problems, I started collecting references about the status quo of EA-applications in management science. This report intends to make available my findings to other researchers in the field. It is a short overview and lists some 230 references to current as well as finished research projects. [..] "At the end of the paper, a questionnaire has been incorporated that may be used for this purpose. Other comments are also appreciated." --- from the Introduction of (Nissen 93) References Nissen, V. (1993) "Evolutionary Algorithms in Management Science: An Overview and List of References", Papers on Economics and Evolution, edited by the European Study Group for Evolutionary Economics. This report is also avail. via anon. FTP from ftp.gwdg.de:/pub/msdos/reports/wi/earef.eps Boulding, K.E. (1991) "What is evolutionary economics?", Journal of Evolutionary Economics, 1, 9-17. TIMETABLING This has been addressed quite successfully with GAs. A very common manifestation of this kind of problem is the timetabling of exams or classes in Universities, etc. The first application of GAs to the timetabling problem was to build the schedule of the teachers in an Italian high school. The research, conducted at the Department of Electronics and Information of Politecnico di Milano, Italy, showed that a GA was as good as Tabu Search, and better than simulated annealing, at finding teacher schedules satisfying a number of hard and soft constraints. The software package developed is now in current use in some high schools in Milano. (Colorni et al 1990) At the Department of Artificial Intelligence, University of Edinburgh, timetabling the MSc exams is now done using a GA (Corne et al. 93, Fang 92). An example of the use of GAs for timetabling classes is (Abramson & Abela 1991).
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