Abstract: This paper proposes the use of online retrained metamodels for the optimization of water distribution system (WDS) design. In these metamodels, artificial neural networks (ANNs) are used to replace the full hydraulic and ...

Abstract: A monthly planning and operational model has been developed for the Adelaide headworks system in South Australia, Australia. The model uses linear goal programming to aid in the identification of optimum operating policies ...

Abstract: The aim of this study is to develop a framework for the optimal conjunctive use of surface and groundwater in a case study of the Zayandehrud river basin in Iran. The basis of the framework is an integrated simulation-optimization ...

Abstract: Evolutionary algorithms (EAs) have been used extensively for the optimization of water distribution systems (WDSs) over the last two decades. However, computational efficiency can be a problem, especially when EAs are ...

Abstract: A general model for constrained optimum water pricing and capacity expansion is applied to the twin cities of Kitchener‐Waterloo (KW), Ontario. The model identifies the water price and water supply capacity, which maximizes ...

Abstract: The genetic algorithm technique is a relatively new optimization technique. In this paper we present a methodology for optimizing pipe networks using genetic algorithms. Unknown decision variables are coded as binary ...