For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

Robert Gordon University

Return to search Previous output Next output
Output 0 of 0 in the submission
Output title

Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm

Type
E - Conference contribution
Name of conference/published proceedings
IEEE Congress on Evolutionary Computation, 2008. CEC 2008.
Volume number
-
Issue number
-
First page of article
2621
ISSN of proceedings
-
Year of publication
2008
URL
-
Number of additional authors
3
Additional information

Originality: the approach to selection for probabilistic model building; and use of product moment correlation to assess model quality. These have influenced other authors using low-quality or infeasible solutions in probabilistic model building (doi: 10.1109/FUZZY.2009.5277373 , DOI: 10.1145/2001576.2001659). Our approach was listed in 2010 as sole published method for qualitative analysis of Markov Network EDAs, in contrast to many available approaches for Bayesian Network EDAs [1]. This was published in a world-leading EDA track.

[1] Echegoyen, Carlos, et al. "Analyzing the k Most Probable Solutions in EDAs Based on Bayesian Networks." Exploitation of Linkage Learning in Evolutionary Algorithms (2010): 163-189.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
13
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-