Output details
11 - Computer Science and Informatics
Robert Gordon University
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Article title
An application of a GA with Markov network surrogate to feature selection
Type
D - Journal article
Title of journal
International Journal of Systems Science
Article number
-
Volume number
44
Issue number
11
First page of article
2039
ISSN of journal
1464-5319
Year of publication
2013
URL
-
Number of additional authors
4
Additional information
This paper offers an original contribution to surrogate modelling. The Markov network approach offers an alternative the main surrogate methods which are radial basis functions, ANNs and Kriging. This is significant because it applies to discrete optimisation problems where surrogate modelling techniques are more difficult to apply. Extensive experimentation establishes the method as competitive and gives rigorous evidence on the various trade-offs involved in configuring the algorithm.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-