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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 (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.
Original language | English |
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Pages (from-to) | 1265-1271 |
Number of pages | 8 |
Journal | Water Science and Technology: Water Supply |
Volume | 13 |
Issue number | 5 |
Early online date | 14 Sept 2013 |
DOIs | |
Publication status | Published - 2013 |
Keywords
- reliability
- statistical entropy
- reliability-based multi-objective evolutionary optimization
- water distribution system
- multiple operating conditions
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Dive into the research topics of 'Water distribution network optimization using maximum entropy under multiple loading patterns'. Together they form a unique fingerprint.Projects
- 1 Finished
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PF-MOEA: Penalty-free feasibility boundary-convergent multi-objective evolutionary approach for water distribution
Tanyimboh, T. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/09 → 31/03/13
Project: Research
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Pressure dependent network water quality modelling
Seyoum, A. G. & Tanyimboh, T., Jun 2014, In: Proceedings of the ICE - Water Management . 167, 6, p. 342-355 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Citations (Scopus)320 Downloads (Pure) -
Assessment of penalty-free multi-objective evolutionary optimization approach for the design and rehabilitation of water distribution systems
Siew, C., Tanyimboh, T. & Seyoum, A. G., Jan 2014, In: Water Resources Management. 28, 2, p. 373-389 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile42 Citations (Scopus)138 Downloads (Pure) -
Water distribution network optimisation using maximum entropy under multiple loading patterns
Czajkowska, A. M. & Tanyimboh, T. T., 2013, In: Water Science and Technology: Water Supply. 13, 5, p. 1265-1271 7 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Citations (Scopus)126 Downloads (Pure)