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• W2126585170 startingPage "147" @default.
• W2126585170 abstract "The efficient and effective search for the optimum design solution of a water distribution network using genetic algorithms (GAs) is governed by several factors such as representation scheme, population size, hydraulic simulation model, fitness function, penalty method, GA operators, number of generations, and more importantly the size of the search space. This paper proposes a modified GA that uses basic operators along with their derivatives randomly. Further, a methodology based on critical path method is suggested to reduce the search space. A software tool, GA-WAT, based on the proposed methodology is developed and first tested and verified for its efficiency and effectiveness on two previously published single source networks. Later, it is applied to the optimal design of a larger, two-source hypothetical network. The results obtained indicate that the modified GA with reduction in search space proposed herein is more effective, especially for large practical networks." @default.
• W2126585170 created "2016-06-24" @default.
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• W2126585170 date "2008-03-01" @default.
• W2126585170 modified "2023-10-12" @default.
• W2126585170 title "Optimal Design of Water Networks Using a Modified Genetic Algorithm with Reduction in Search Space" @default.
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• W2126585170 doi "https://doi.org/10.1061/(asce)0733-9496(2008)134:2(147)" @default.
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