Verified static and dynamic models of an operational works were used alongside Monte-Carlo conditions and non-dominated sorting genetic algorithm II (NGSAII) to optimise operational regimes. Static models were found to be more suitable for whole water treatment works optimisation modelling and offered the additional advantage of reduced computational burden. Static models were shown to predict solutions of comparable cost when applied to optimisation problems while being faster to simulate than dynamic models.
Research Article|June 09 2017
Optimisation of water treatment works performance using genetic algorithms
Roger Swan, John Bridgeman, Mark Sterling; Optimisation of water treatment works performance using genetic algorithms. Journal of Hydroinformatics 13 September 2017; 19 (5): 719–733. doi: https://doi.org/10.2166/hydro.2017.083
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