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

Authors

D Walker, School of Engineering, Computing and Mathematics
MJ Craven, School of Engineering, Computing and Mathematics

ORCID

• MJ Craven: 0000-0001-9522-6173

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.

DOI

10.29007/j62b

Publication Date

2018-08-29

Publication Title

https://easychair.org/publications/EPiC/Engineering

ISSN

2516-2330

Embargo Period

2018-08-29

Keywords

optimisation, water distribution network design, visualisation, evolutionary computation

Recommended Citation

Walker, D., & Craven, M. (2018) 'Visualising the Operation of Evolutionary Algorithms Optimising Water Distribution Network Design Problems', https://easychair.org/publications/EPiC/Engineering, . Available at: 10.29007/j62b