Water distribution network optimisation using maximum entropy under multiple loading patterns
Czajkowska, Anna M. and Tanyimboh, Tiku T. (2013) Water distribution network optimisation using maximum entropy under multiple loading patterns. Water Science and Technology: Water Supply, 13 (5). pp. 1265-1271. ISSN 1606-9749
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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.
Creators(s): |
Czajkowska, Anna M. ![]() ![]() | Item type: | Article |
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ID code: | 44268 |
Keywords: | multi-objective evolutionary optimization, reliability, statistical entropy, multiple operating conditions, water distribution systems, Engineering (General). Civil engineering (General), Civil and Structural Engineering |
Subjects: | Technology > Engineering (General). Civil engineering (General) |
Department: | Faculty of Engineering > Civil and Environmental Engineering |
Depositing user: | Pure Administrator |
Date deposited: | 02 Jul 2013 11:00 |
Last modified: | 02 Mar 2021 01:22 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/44268 |
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