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Evolutionary algorithms using cluster patterns for timetabling

Date

Authors

Sharma, Nandita

Gedeon, Tamas (Tom)

Mendis, B Sumudu

Publisher

IOS Press

Abstract

The examination timetabling problem (ETP) is a NP complete, combinatorial optimization problem. Intuitively, use of properties such as patterns or clusters in the data suggests possible improvements in the performance and quality of timetabling. This pape

Keywords

Keywords: Australian National University; clusters; Combinatorial optimization problems; constraints; Data patterns; Examination timetabling; Statistical significance; Timetabling; Genetic algorithms; Population statistics; Scheduling clusters; constraints; data patterns; genetic algorithms; Timetabling

URI

http://hdl.handle.net/1885/74605

Collections

ANU Research Publications

Source

Intelligent Decision Technologies

Type

Journal article

DOI

10.3233/IDT-130157

Restricted until

2037-12-31

Downloads

File

Description

01_Sharma_Evolutionary_algorithms_using_2013.pdf (1.33 MB)