Design of the Anytown network using the penalty-free multi-objective evolutionary optimization approach

Tiku Tanyimboh, Calvin Siew

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

Abstract

In the context of water distribution system (WDS) design optimization, majority of the evolutionary algorithm models in the literature simulate solutions using demand driven analysis (DDA) based hydraulic solver and solutions that violate the nodal pressure constraints are penalized using penalty functions. The disadvantages of penalty functions are that they are case sensitive and require expertise in calibration with numerous time consuming trial runs. This paper investigates the application of a new penalty‐free multi‐objective evolutionary algorithm (PFMOEA) in the design optimization of WDS. Herein, the PFMOEA is extended to optimize problems involving pump operations, tank sizing and locations. The model succeeded in locating cheaper solutions than those previously reported in the literature that satisfy all the required constraints. Results are presented and compared to the best solution reported in the literature.
Original languageEnglish
Title of host publicationASCE/EWRI World Environmental & Water Resources Congress
DOIs
Publication statusPublished - May 2011
EventASCE/EWRI World Environmental & Water Resources Congress - Palm Springs, California, United States
Duration: 22 May 201126 May 2011

Conference

ConferenceASCE/EWRI World Environmental & Water Resources Congress
CountryUnited States
CityPalm Springs, California
Period22/05/1126/05/11

Keywords

  • Anytown network
  • evolutionary optimization approach
  • demand driven analysis

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