Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach

Evolutionary algorithms are often highly dependent on the correct setting of their parameters, and benchmarking different parametrisations allows a user to identify which parameters offer the best performance on their given problem. Visualisation offers a way of presenting the results of such benchm...

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Bibliographic Details

Published in:	Applied soft computing Vol. 88; p. 105902
Main Authors:	Walker, David J., Craven, Matthew J.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2020
Subjects:	Benchmarking Many-objective Multi-objective Optimisation Parametrisation Visualisation Visualisation Benchmarking Many-objective Parametrisation Multi-objective Optimisation
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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