Toward the Online Visualisation of Algorithm Performance for Parameter Selection

  • David J. WalkerEmail author
  • Matthew J. Craven
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10784)


A visualisation method is presented that is intended to assist evolutionary algorithm users with the parametrisation of their algorithms. The visualisation method presents the convergence and diversity properties such that different parametrisations can be easily compared, and poor performing parameter sets can be easily identified and discarded. The efficacy of the visualisation is presented using a set of benchmark optimisation problems from the literature, as well as a benchmark water distribution network design problem. Results show that it is possible to observe the different performance caused by different parametrisations. Future work discusses the potential of this visualisation within an online tool that will enable a user to discard poor parametrisations as they execute to free up resources for better ones.


Visualisation Multi-objective Optimisation Water distribution network design 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of ExeterExeterUK
  2. 2.University of PlymouthPlymouthUK

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