Water distribution network optimization using maximum entropy under multiple loading patterns

Anna Czajkowska, Tiku Tanyimboh

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper proposes a maximum entropy-based multi-objective genetic algorithm approach for the design optimization of water distribution networks (WDNs). The novelty is that in contrast to previous research involving statistical entropy the algorithm can handle multiple operating conditions. We used NSGA II and EPANET 2 and wrote a subroutine that calculates the entropy value for any given WDN configuration. The proposed algorithm is demonstrated by designing a six-loop network that is well known from previous entropy studies. We used statistical entropy to include reliability in the design optimization procedure in a computationally efficient way.
LanguageEnglish
Pages1265-1271
Number of pages8
JournalWater Science and Technology: Water Supply
Volume13
Issue number5
Early online date14 Sep 2013
DOIs
Publication statusPublished - 2013

Fingerprint

Electric power distribution
entropy
Entropy
Water
water
Subroutines
genetic algorithm
Genetic algorithms
distribution
Design optimization

Keywords

  • reliability
  • statistical entropy
  • reliability-based multi-objective evolutionary optimization
  • water distribution system
  • multiple operating conditions

Cite this

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Water distribution network optimization using maximum entropy under multiple loading patterns. / Czajkowska, Anna; Tanyimboh, Tiku.

In: Water Science and Technology: Water Supply, Vol. 13, No. 5, 2013, p. 1265-1271.

Research output: Contribution to journalArticle

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