Towards Interactive Evolution: A Distributed Optimiser for Multi-Objective Water Distribution Network Design

9 pages•Published: September 20, 2018

David Walker, Matthew Johns, Ed Keedwell and Dragan Savic

Abstract

It is well known that water distribution networks can be optimised by evolutionary algorithms. However, while such optimisation can result in mathematically optimal solutions, the ability of the algorithm to generate novelty can often lead to solutions that are not practical for implementation. This work describes a distributed optimisation platform that will enable the inclusion of a human decision maker in the optimisation process. The architecture of the platform is described, and examples of its execution on benchmark problems is described, using an automated client that interacts with the platform in lieu of a human decision maker.

Keyphrases: interaction, optimization, 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 2259-2267.

Links:	https://easychair.org/publications/paper/8B6q
	https://doi.org/10.29007/ltkb

BibTeX entry

@inproceedings{HIC2018:Towards_Interactive_Evolution_Distributed,
  author    = {David Walker and Matthew Johns and Ed Keedwell and Dragan Savic},
  title     = {Towards Interactive Evolution: A Distributed Optimiser for Multi-Objective Water Distribution Network Design},
  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/8B6q},
  doi       = {10.29007/ltkb},
  pages     = {2259-2267},
  year      = {2018}}

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