The EPANET Programmer’s Toolkit is a collection of functions that helps simplify computer programming of water distribution network analyses. The functions can be used to read in a pipe network description file, modify selected component properties, run multiple hydraulic and water quality analyses, retrieve selected output results, and write formatted output reports. The toolkit is especially useful for developing applications, such as optimization models, that require running many network analyses with modified input parameters. It can also simplify adding analysis capabilities to integrated network modeling environments based on CAD, GIS, and database packages. (Source: http://ascelibrary.org/doi/abs/10.1061/40430%281999%2939)

References in zbMATH (referenced in 17 articles )

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  1. Ilaya-Ayza, Amilkar E.; Benítez, Julio; Izquierdo, Joaquín; Pérez-García, Rafael: Multi-criteria optimization of supply schedules in intermittent water supply systems (2017)
  2. Izquierdo, Joaquín; Campbell, Enrique; Montalvo, Idel; Pérez-García, Rafael: Injecting problem-dependent knowledge to improve evolutionary optimization search ability (2016)
  3. Lieb, Anna M.; Rycroft, Chris H.; Wilkening, Jon: Optimizing intermittent water supply in urban pipe distribution networks (2016)
  4. Ghaddar, Bissan; Naoum-Sawaya, Joe; Kishimoto, Akihiro; Taheri, Nicole; Eck, Bradley: A Lagrangian decomposition approach for the pump scheduling problem in water networks (2015)
  5. Laguna, Manuel; Gortázar, Francisco; Gallego, Micael; Duarte, Abraham; Martí, Rafael: A black-box scatter search for optimization problems with integer variables (2014)
  6. Gleixner, Ambros M.; Held, Harald; Huang, Wei; Vigerske, Stefan: Towards globally optimal operation of water supply networks (2012)
  7. Izquierdo, Joaquín; Montalvo, Idel; Pérez-García, Rafael; Matías, Agustín: On the complexities of the design of water distribution networks (2012)
  8. Bolognesi, Andrea; Bragalli, Cristiana; Marchi, Angela; Artina, Sandro: Genetic heritage evolution by stochastic transmission in the optimal design of water distribution networks (2010)
  9. Al-Omari, Abbas S.; Abdulla, Fayez A.: A model for the determination of residential water demand by the use of tracers (2009)
  10. Baños, R.; Gil, C.; Reca, J.; Martínez, J.: Implementation of scatter search for multi-objective optimization: a comparative study (2009)
  11. Koppel, T.; Vassiljev, A.: Calibration of a model of an operational water distribution system containing pipes of different age (2009)
  12. Baños, R.; Gil, C.; Agulleiro, J.I.; Reca, J.: A memetic algorithm for water distribution network design (2007)
  13. Laird, Carl D.; Biegler, Lorenz T.; van Bloemen Waanders, Bart G.: Real-time, large-scale optimization of water network systems using a subdomain approach (2007)
  14. Berger-Wolf, T.Y.; Hart, W.E.; Saia, J.: Discrete sensor placement problems in distribution networks (2005)
  15. Nicolini, Matteo: A two-level evolutionary approach to multi-criterion optimization of water supply systems (2005)
  16. Cheung, Peter B.; Reis, Luisa F. R.; Formiga, Klebber T. M.; Chaudhry, Fazal H.; Ticona, Waldo G. C.: Multiobjective evolutionary algorithms applied to the rehabilitation of a water distribution system: A comparative study (2003)
  17. Boulos, Paul F.; Altman, Tom; Jarrige, Pierre-Antoine; Collevati, François: An event-driven method for modelling contaminant propagation in water networks (1994)