Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems

9 pages•Published: September 20, 2018

Abstract

Multi-objective evolutionary algorithms (MOEAs) are well known for their ability to optimise the water distribution network design problem. However, their complex nature often restricts their use to algorithm experts. A method is proposed for visualising algorithm performance that will enable an engineer to compare different optimisers and select the best optimisation approach. Results show that the convergence and preservation of diversity can be shown in a simple visualisation that does not rely on in-depth MOEA experience.

Keyphrases: optimization, visualisation, water distribution network design

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2250-2258.

Links:	https://easychair.org/publications/paper/CGRF
	https://doi.org/10.29007/j62b

BibTeX entry

@inproceedings{HIC2018:Visualising_Operation_Evolutionary_Algorithms,
  author    = {David Walker and Matthew Craven},
  title     = {Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/CGRF},
  doi       = {10.29007/j62b},
  pages     = {2250-2258},
  year      = {2018}}

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