Penalty-free evolutionary algorithm optimization for the long term rehabilitation and upgrading of water distribution systems

Calvin Siew, Tiku Tanyimboh

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)


The rehabilitation and upgrading of a water distribution system (WDS) involves a great amount of capital and hence the optimization of factors such as the phasing, timing and magnitude of the upgrading with regard to cost is a necessity. This paper presents a penalty‐free multi‐objective evolutionary algorithm (PFMOEA) model for the optimal long term upgrading of water distribution systems. The model couples a pressure dependent analysis within a multi‐objective optimization frame work and has proven to be effective and efficient in locating the optimal/ near optimal solution. Herein, a real life network in Wobulenzi was used to demonstrate the efficacy of the model. Results generated by PFMOEA and the conventional linear programming (LP) are presented and compared. It is shown that PFMOEA outperforms LP in that it succeeded in finding lower network rehabilitation and upgrading cost.
Original languageEnglish
Title of host publicationProceedings of the ASCE/EWRI World Environmental & Water Resources Congress
Publication statusPublished - May 2011
EventASCE/EWRI World Environmental & Water Resources Congress - Palm Springs, California, United States
Duration: 22 May 201126 May 2011


ConferenceASCE/EWRI World Environmental & Water Resources Congress
CountryUnited States
CityPalm Springs, California


  • water distribution systems
  • evolutionary algorithm optimization

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