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

David Walker, Matthew Craven
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 fatcat:hzt7lhx56zehtfyvwoghcsfnuu