SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

Lawrence Davis, Frank Ritter

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

27 Scopus citations

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

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.'. Together they form a unique fingerprint.

  • Cite this

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