Optimal network calibration model based on genetic algorithms

Srinivasa Lingireddy, Lindell E. Ormsbee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations


Validity of a hydraulic network model depends not only on the accuracy of its physical and geometric data but also on the accuracy of certain parametric data such as pipe roughness coefficients and nodal demands. Difficulties associated with economical and reliable measurements for these parameters often dictate estimation of these parameters through model calibration. This paper describes an optimization approach to calibrate a network model for demand adjustment factors in the context of an extended period analysis. The proposed model obtains an optimal solution by minimizing a nonlinear objective function subject to a set of linear and nonlinear constraints using a powerful search technique based on a genetic algorithm. Application of the optimal calibration model on an example water distribution system demonstrates the efficiency of the proposed approach.

Original languageEnglish
Title of host publicationWRPMD 1999
Subtitle of host publicationPreparing for the 21st Century
StatePublished - 1999
Event29th Annual Water Resources Planning and Management Conference, WRPMD 1999 - Tempe, AZ, United States
Duration: Jun 6 1999Jun 9 1999

Publication series

NameWRPMD 1999: Preparing for the 21st Century


Conference29th Annual Water Resources Planning and Management Conference, WRPMD 1999
Country/TerritoryUnited States
CityTempe, AZ

ASJC Scopus subject areas

  • Computer Networks and Communications


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