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Related Experiment Videos

Risk- and robustness-based solutions to a multi-objective water distribution system rehabilitation problem under

Z Kapelan1, D A Savic, G A Walters

  • 1Department of Engineering, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4OF, United Kingdom. Z.Kapelan@ex.ac.uk

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 15, 2006
PubMed
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This study optimizes water distribution system rehabilitation by minimizing cost and maximizing robustness or minimizing risk under uncertain demands. A novel rNSGAII method achieves significant computational savings.

Area of Science:

  • Environmental Engineering
  • Operations Research
  • Civil Engineering

Background:

  • Water distribution systems (WDS) require rehabilitation to ensure reliable service.
  • Rehabilitation planning faces uncertainty, primarily from future water consumption.
  • Optimizing WDS rehabilitation involves balancing cost, robustness, and risk.

Purpose of the Study:

  • To formulate WDS rehabilitation as a multi-objective optimization problem under uncertainty.
  • To develop and evaluate a novel optimization method (rNSGAII) for WDS rehabilitation.
  • To compare two alternative objective formulations: maximizing robustness versus minimizing risk.

Main Methods:

  • Formulating WDS rehabilitation as a multi-objective optimization problem with cost as one objective.

Related Experiment Videos

  • Modeling uncertain demands using probability density functions (PDFs).
  • Employing the Latin Hypercube sampling technique and a modified NSGAII algorithm (rNSGAII) for efficient computation.

    • Main Results:

    • The rNSGAII method significantly reduces computational load compared to full sampling.
    • Both proposed methodologies successfully identify robust (near) Pareto optimal fronts.
    • The New York tunnels case study validates the effectiveness of the developed approaches.

    Conclusions:

    • The rNSGAII method offers a computationally efficient approach to WDS rehabilitation optimization.
    • Multi-objective optimization effectively balances competing goals in WDS rehabilitation.
    • The study provides valuable insights for planning resilient and cost-effective WDS upgrades.