A Chaotic Sobol Sequence-based multi-objective evolutionary algorithm for optimal design and expansion of water networks

Swati Sirsant, Mohamed A. Hamouda, Mostafa F. Shaaban, Mayyada Salem Al Bardan

Research output: Contribution to journalArticlepeer-review

Abstract

The design of a water distribution network (WDN) is an optimization problem that is computationally challenging with conflicting objectives. This study offers an enhanced Chaotic Sobol Sequence-based Multi-Objective Self-Adaptive Differential Evolution (CS-MOSADE) algorithm for multi-objective WDN design. The CS-MOSADE algorithm was tested on two benchmark WDNs, and a real WDN. Optimization results indicate that the CS-MOSADE algorithm converged two to three times faster than the MOSADE and NSGA-IIalgorithms and led to better output in terms of even distribution of solutions and convergence towards the true Pareto-optimal front. Smaller spacing metric indicated better uniformity in the obtained solutions; and larger hyper-area and coverage function values depicted better convergence towards the true Pareto-optimal front for the CS-MOSADE algorithm compared to the other algorithms. The CS-MOSADE algorithm was then applied to solve a WDN expansion problem for optimal pump scheduling and minimization of Life Cycle Cost, maximization of reliability and minimization of Green House Gas (GHG) emissions. A significant reduction in GHG emissions of 2.17 x 106 kg was achieved at an additional cost of $0.55 x 107 when optimal pump scheduling was incorporated in the model of the real WDN over service life of 50 years.

Original languageEnglish
Article number104215
JournalSustainable Cities and Society
Volume87
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Expansion
  • GHG emissions
  • Multi-objective optimization
  • Optimal pump scheduling
  • Reliability assessment
  • Water distribution networks

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Transportation

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