Water distribution network optimisation using maximum entropy under multiple loading patterns

Anna M. Czajkowska, Tiku T. 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. 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 water distribution network configuration. The proposed algorithm is demonstrated by designing a 6-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 pages7
JournalWater Science and Technology: Water Supply
Volume13
Issue number5
DOIs
Publication statusPublished - 2013
EventIWA World Water Congress & Exhibition 2012 - Busan - Korea, United Kingdom
Duration: 16 Sep 201221 Sep 2012

Fingerprint

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

Keywords

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

Cite this

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abstract = "This paper proposes a maximum-entropy based multi-objective genetic algorithm approach for the design optimization of water distribution networks. 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 water distribution network configuration. The proposed algorithm is demonstrated by designing a 6-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.",
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Water distribution network optimisation using maximum entropy under multiple loading patterns. / Czajkowska, Anna M.; Tanyimboh, Tiku T.

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

Research output: Contribution to journalArticle

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AU - Czajkowska, Anna M.

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AB - This paper proposes a maximum-entropy based multi-objective genetic algorithm approach for the design optimization of water distribution networks. 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 water distribution network configuration. The proposed algorithm is demonstrated by designing a 6-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.

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KW - reliability

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KW - water distribution systems

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