Multi-objective optimization of water distribution system: a hybrid evolutionary algorithm

Masoud Gheitasi, Hesam Seyed Kaboli, Alireza Keramat

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The optimal operation of water distribution systems is complicated due to multiple objectives that are in conflict, such as water quality versus cost. This work proposes to combine Strength Pareto Evolutionary Algorithm (SPEAII) with Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, called MOPSO-SPEAII, to establish a multi-objective model which handles water quality, costs and storage-reliable requirement. The main idea is that genetic operators are combined with particle swarm operators such that the fitness of SPEAII results is evaluated using MOPSO. An optimization-simulation model is prepared by linking the hybrid algorithm with EPANET software, and it is employed for a typical case study from the literature. The model outcomes verify that the MOPSO-SPEAII is more stable compared to SPEAII in terms of closeness to global minimum  and can be used as a robust decision tool. However, the model application for a real sized system increases the computational intensity of the model.

Original languageEnglish
Pages (from-to)203-215
Number of pages13
JournalJournal of Applied Water Engineering and Research
Volume9
Issue number3
DOIs
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • hybrid algorithm
  • multi-objective
  • optimal operation
  • optimization
  • Water distribution system

ASJC Scopus subject areas

  • Water Science and Technology

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