SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

Lawrence Davis, Frank Ritter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

Abstract

An application of genetic algorithms and simulated annealing to a class section scheduling problem is described. Included are a comparison of the two types of optimizing technologies, a discussion of the application domain, a description of how annealing can be used to optimize in the domain with annealing, and a description of new techniques used to optimize annealing algorithms or other numeric processes with a genetic algorithm. It is concluded that the procedures used for this application will generalize to similar domains.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages231-236
Number of pages6
ISBN (Print)0818607637
StatePublished - 1987

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Annealing
Genetic algorithms
Simulated annealing
Scheduling

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Davis, L., & Ritter, F. (1987). SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. In Unknown Host Publication Title (pp. 231-236). IEEE.
Davis, Lawrence ; Ritter, Frank. / SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. Unknown Host Publication Title. IEEE, 1987. pp. 231-236
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Davis, L & Ritter, F 1987, SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. in Unknown Host Publication Title. IEEE, pp. 231-236.

SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. / Davis, Lawrence; Ritter, Frank.

Unknown Host Publication Title. IEEE, 1987. p. 231-236.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Davis L, Ritter F. SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH. In Unknown Host Publication Title. IEEE. 1987. p. 231-236