Improved hybrid genetic algorithms for optimal scheduling model of urban water-supply system

Huanfeng Duan, Guoping Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The model of water-supply networks is optimized by improved hybrid genetic algorithms in pursuit of the state of lowest energy expenses under the restricted conditions of 24 hours' forecasting for water consumption, the set of the pump stations, the first and final levels of reservoirs, electricity charges and hydraulic conditions of the networks. Meanwhile, the optimal scheduling of the pumps in periodic operation is also obtained in this paper. And the validity of that algorithm is verified fully in following field simulation.
Original languageEnglish
Pages (from-to)377-381
Number of pages5
JournalTongji Daxue Xuebao/Journal of Tongji University
Volume34
Issue number3
Publication statusPublished - 1 Mar 2006
Externally publishedYes

Keywords

  • Energy expense
  • Improved hybrid genetic algorithm
  • Optimal scheduling
  • Pump station
  • Water distribution network

ASJC Scopus subject areas

  • General

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