Abstract
| Language | English |
|---|---|
| Pages | 1265-1271 |
| Number of pages | 8 |
| Journal | Water Science and Technology: Water Supply |
| Volume | 13 |
| Issue number | 5 |
| Early online date | 14 Sep 2013 |
| DOIs | |
| Publication status | Published - 2013 |
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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 journal › Article
TY - JOUR
T1 - Water distribution network optimization using maximum entropy under multiple loading patterns
AU - Czajkowska, Anna
AU - Tanyimboh, Tiku
N1 - ©IWA Publishing 2013. The definitive peer-reviewed and edited version of this article is published in Water Science & Technology: Water Supply Vol 13 No 5 pp 1265–1271 2013 10.2166/ws.2013.119 and is available at www.iwapublishing.com.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - reliability
KW - statistical entropy
KW - reliability-based multi-objective evolutionary optimization
KW - water distribution system
KW - multiple operating conditions
UR - http://www.scopus.com/inward/record.url?scp=84889588314&partnerID=8YFLogxK
UR - http://www.iwaponline.com/ws/toc.htm
U2 - 10.2166/ws.2013.119
DO - 10.2166/ws.2013.119
M3 - Article
VL - 13
SP - 1265
EP - 1271
JO - Water Science and Technology: Water Supply
T2 - Water Science and Technology: Water Supply
JF - Water Science and Technology: Water Supply
SN - 1606-9749
IS - 5
ER -