Technical note: Problem-specific variators in a genetic algorithm for the optimization of drinking water networks

van Laarhoven, Karel; Vertommen, Ina; van Thienen, Peter

Genetic algorithms can be a powerful tool for the automated design of optimal drinking water distribution networks. Fast convergence of such algorithms is a crucial factor for successful practical implementation at the drinking water utility level. In this technical note, we therefore investigate the performance of a suite of genetic variators that was tailored to the optimization of a least-cost network design. Different combinations of the variators are tested in terms of convergence rate and the robustness of the results during optimization of the real-world drinking water distribution network of Sittard, the Netherlands. The variator configurations that reproducibly reach the furthest convergence after 10inline-formula5 function evaluations are reported. In the future these may aid in dealing with the computational challenges of optimizing real-world networks.

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van Laarhoven, Karel / Vertommen, Ina / van Thienen, Peter: Technical note: Problem-specific variators in a genetic algorithm for the optimization of drinking water networks. 2018. Copernicus Publications.

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Rechteinhaber: Karel van Laarhoven et al.

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