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Output details

11 - Computer Science and Informatics

University of Exeter

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Output title

Visualisation and ordering of many-objective populations

Type
E - Conference contribution
Name of conference/published proceedings
2010 IEEE Congress on Evolutionary Computation (CEC)
Volume number
-
Issue number
-
First page of article
1
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
2
Additional information

<20> This paper was presented at CEC, one of the two premier conferences for evolutionary computation. It is concerned with the presentation and interpretation of a set of many-objective solutions to optimisation problems. This is important, as often these are high-dimensional, making it difficult for problem owners to navigate. We introduce a novel graphical visualisation of these sets, and examine a number of ways of characterising them. The work also proves the equivalence of two common characterisations, the average rank and outflow. We present, for the first time in evolutionary computing, methods to seriate objectives to improve heatmap visualisations.

Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-