Improving the efficiency of multi-objective evolutionary algorithms through decomposition: An application to water distribution network design

2015 ◽  
Vol 69 ◽  
pp. 240-252 ◽  
Author(s):  
Feifei Zheng ◽  
Angus Simpson ◽  
Aaron Zecchin
Keyword(s):  
Evolutionary Algorithms ◽  
Network Design ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Multi Objective ◽  
Distribution Network Design ◽  
Water Distribution Network Design

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

10.29007/j62b ◽  
2018 ◽  
Author(s):  
David Walker ◽  
Matthew Craven
Keyword(s):  
Evolutionary Algorithms ◽  
Network Design ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Network Design Problem ◽  
Complex Nature ◽  
Design Problems ◽  
Distribution Network Design ◽  
Water Distribution Network Design

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.

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