scholarly journals Interactive Visualisation of Water Distribution Network Optimisation

10.29007/x55c ◽  
2018 ◽  
Author(s):  
Matthew Johns ◽  
David Walker ◽  
Edward Keedwell ◽  
Dragan Savic

Evolutionary algorithms have been used to optimize water systems in the literature for over three decades. However, their use for solving real-world water system problems in industry is still very limited. The work presented in this paper details the development of an interactive visualisation client for water distribution network design, which is part of a larger project to bring EAs closer to practicing engineers. The system aims at engaging engineers by actively involving them in the optimization process through the use of advanced visual analytics and novel interactive evolution techniques.

10.29007/j62b ◽  
2018 ◽  
Author(s):  
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.


2015 ◽  
Vol 119 ◽  
pp. 1269-1277 ◽  
Author(s):  
Ahmed Kheiri ◽  
Edward Keedwell ◽  
Michael J. Gibson ◽  
Dragan Savic

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