In this paper, an Evolutionary Algorithm, called EA-WDND, is developed to optimize the Water Distribution Network Design for real instances. The Evolutionary Algorithm uses the Epanet Solver which, while not an optimizer, helps to evaluate the operation 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 is 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.
- Epanet solver
- optimal design
- parallel evolutionary algorithm
- water distribution networks design
- First received 23 February 2016.
- Accepted in revised form 31 May 2016.
- © 2016 The Authors
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