SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

Lawrence Davis; Frank Ritter

SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

Lawrence Davis
, Frank Ritter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	IEEE
Pages	231-236
Number of pages	6
ISBN (Print)	0818607637
State	Published - 1987

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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title = "SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.",

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.",

author = "Lawrence Davis and Frank Ritter",

year = "1987",

language = "English (US)",

isbn = "0818607637",

publisher = "IEEE",

pages = "231--236",

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TY - GEN

T1 - SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

AU - Davis, Lawrence

AU - Ritter, Frank

PY - 1987

Y1 - 1987

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0023241078

UR - https://www.scopus.com/pages/publications/0023241078#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:0023241078

SN - 0818607637

SP - 231

EP - 236

BT - Unknown Host Publication Title

PB - IEEE

ER -

SCHEDULE OPTIMIZATION WITH PROBABILISTIC SEARCH.

Abstract

All Science Journal Classification (ASJC) codes

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