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Abstract: Evolutionary approaches are not usually considered for real time scheduling problems due to long computation times and uncertainty about the length of the computation time. We argue that for some kinds of problems, such as optimizing aircraft landing times, genetic algorithms have advantages over other methods as a best solution is always available when needed, and, since the computation is inherently parallel, more processors can be added to get higher quality solutions if necessary.... (Update)
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BibTeX entry: (Update)
Ciesielski V. and Scerri P. (1998), Real time genetic scheduling of aircraft landing times, Proceedings of the 1998 IEEE International conference on Evolutionary Computation (ICEC98), 360-364, IEEE press. http://citeseer.ist.psu.edu/ciesielski98real.html More
@misc{ ciesielski98real,
author = "V. Ciesielski and P. Scerri",
title = "Real time genetic scheduling of aircraft landing times",
text = "Ciesielski V. and Scerri P. (1998), Real time genetic scheduling of aircraft
landing times, Proceedings of the 1998 IEEE International conference on
Evolutionary Computation (ICEC98), 360-364, IEEE press.",
year = "1998",
url = "citeseer.ist.psu.edu/ciesielski98real.html" }
Citations (may not include all citations):206 Genetic algorithms + data structures = evolution programs (context) - Michalewicz - 1992
85 Composing real-time systems - Russell, Zilberstein - 1991
58 Schedule optimization using genetic algorithms (context) - Syswerda - 1991
38 A promising genetic algorithm approach to job-shop schedulin.. - Fang, Ross et al. - 1993
26 The application of genetic algorithms to resource scheduling (context) - Syswerda, Palmucci - 1991
16 Managing genetic search in job shop scheduling (context) - Uckun, Bagchi et al. - 1993
9 A system for learning routes and schedules with genetic algo.. (context) - Gabbert, Brown et al. - 1991
3 A User's Guide to GAUCSD (context) - Grefenstette, Schraudolph - 1992
1 An Approach to Scheduling Aircraft Landing Times Using Genet.. - Stevens - 1995
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