Abstract
In this paper, an evolutionary algorithm, called EA-WDND, is developed to optimize water distribution network design for real instances. The evolutionary algorithm uses the Epanet Solver which, while not an optimizer, helps to evaluate the operational constraints of mass conservation, energy conservation, pressure in nodes (nodal heads) of the network, and velocities of water in network pipes. Epanet is used by the EA-WDND to evaluate whether the looped network is operating properly. Consequently, the EA-WDND obtains feasible configurations of network design. The best configuration, which has the lowest cost and best performance according to defined constraints, is obtained by the EA-WDND. This configuration can be practically implemented in real life. In this paper, a methodology for using Epanet Solver with a parallel evolutionary algorithm is presented.
Highlights
Water distribution networks are indispensable in society
The experiments with EAA-water distribution network design (WDND) consisted of obtaining pressures for network test problems Alperovits, Hanoi and Balerma (Reca & Martínez ; Reca et al ; Baños et al ; Artina et al ), on the Mini-Grid platform
The EAA-WDND presented in this work has excellent performance in a grid environment
Summary
Water distribution networks are indispensable in society. One of the key issues in order to have a properly working water distribution network is the network design. The network design is a very common problem which requires the correct selection of components. The correct network design helps guarantee proper network operation and, at the same time, the appropriate service for network users in order to satisfy their water needs. Real-world instances of water distribution networks involve very large networks. Numerous attempts have been made to solve these networks and several different methods have been proposed by researchers, including heuristic methods.
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