Output details
11 - Computer Science and Informatics
University of Nottingham
Article title
An evolutionary squeaky wheel optimisation approach to personnel scheduling
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
13
Issue number
2
First page of article
433
ISSN of journal
1089-778X
Year of publication
2009
Number of additional authors
2
Additional information
<22> This publication, in the flagship journal in the field of evolutionary optimisation, picks up the traditional (non-computer science) idea of "oiling the squeaky wheel" and turns it into a novel heuristic optimisation algorithm. This results in a highly effective, yet compact algorithm, shown to be a powerful performer across a range of test instances including some best ever results. The work was used as one motivation to obtain Nottingham's £2.7M EPSRC project "Next Generation Decision Support: Automating the Heuristic Design Process" (EP/D061571/1) and was further extended there.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
16
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
