To have an efficient water distribution network, design alternatives need to be identified and an... more To have an efficient water distribution network, design alternatives need to be identified and analysed. This paper shows how the hydraulic modelling software, WaterGEMS, coupled with an integrated fast-messy genetic algorithm can be used to assess and select an optimum design alternative. The sole objective of the optimisation modelling was to minimise network cost subject to hydraulic and design constraints. Before being applied to the real network of Maun, Botswana, the fast-messy genetic algorithm was tested using the benchmark case study of Hanoi, Vietnam. The findings of the test revealed that the fast-messy genetic algorithm is superior to other popular metaheuristics (standard GA, simulated annealing, shuffled frog leaping algorithm, and shuffled complex evolution) in terms of processing speed. For the water distribution network of Maun, the focus was on finding the best trunk network pipeline route between two optimised options. Both alternative routes were designed to satisfy current and future (2020, 2025) peak hour demands.
To have an efficient water distribution network, design alternatives need to be identified and an... more To have an efficient water distribution network, design alternatives need to be identified and analysed. This paper shows how the hydraulic modelling software, WaterGEMS, coupled with an integrated fast-messy genetic algorithm can be used to assess and select an optimum design alternative. The sole objective of the optimisation modelling was to minimise network cost subject to hydraulic and design constraints. Before being applied to the real network of Maun, Botswana, the fast-messy genetic algorithm was tested using the benchmark case study of Hanoi, Vietnam. The findings of the test revealed that the fast-messy genetic algorithm is superior to other popular metaheuristics (standard GA, simulated annealing, shuffled frog leaping algorithm, and shuffled complex evolution) in terms of processing speed. For the water distribution network of Maun, the focus was on finding the best trunk network pipeline route between two optimised options. Both alternative routes were designed to satisfy current and future (2020, 2025) peak hour demands.
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Papers by Tshepo Jankie