Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems
dc.contributor.author | Walker, David | |
dc.contributor.author | Craven, Matthew | |
dc.date.accessioned | 2018-07-12T15:10:53Z | |
dc.date.issued | 2018-08-29 | |
dc.identifier.issn | 2516-2330 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/11833 | |
dc.description.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. | |
dc.format.extent | 2250-2240 | |
dc.language.iso | en | |
dc.publisher | EasyChair | |
dc.subject | optimisation | |
dc.subject | water distribution network design | |
dc.subject | visualisation | |
dc.subject | evolutionary computation | |
dc.title | Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems | |
dc.type | conference | |
plymouth.date-start | 2018-07-01 | |
plymouth.date-finish | 2018-07-06 | |
plymouth.volume | 3 | |
plymouth.conference-name | 13th International Conference on Hydroinformatics | |
plymouth.publication-status | Accepted | |
plymouth.journal | https://easychair.org/publications/EPiC/Engineering | |
dc.identifier.doi | 10.29007/j62b | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.publisher.place | Palermo, Italy | |
dcterms.dateAccepted | 2018-04-17 | |
dc.rights.embargodate | 2018-8-29 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.29007/j62b | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2018-08-29 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |