Non-parametric optimization technique for water
distribution in pipe networks
Nikita Palod, Vishnu Prasad and Ruchi Khare
ABSTRACT
Water distribution networks (WDN) contribute the massive cost of pipes in total water distribution
system (WDS) design, thus the optimal design of any WDN is more of a necessity than a requirement.
Various evolutionary algorithms (EAs) proposed in the past involve the use of algorithm-specific
parameters and their synchronizing to get the optimal solution and thus require more computational
effort and time. To overcome this drawback, the present work introduces an optimization technique,
JayaNet, which is the integration of the Jaya algorithm and hydraulic network solver EPANET 2. The
best part of this technique is that no algorithm-specific parameter is to be synchronized for optimal
cost but there needs to be adjustment of penalty parameter and population size based on network
size. Four well-known benchmark networks with different sizes and layout have been taken and
optimized using JayaNet. The results are compared with those obtained from other EAs. It is found
that optimized costs obtained for four networks by JayaNet are either the same or less than the
results obtained from other EAs even with a lower number of function evaluations (NFE). The NFE are
found to increase with population size in all networks. The statistical parameter obtained from
JayaNet is also compared for different networks.
Key words | design, evolutionary method, Jaya, optimization, water distribution networks
HIGHLIGHTS
•
A new optimization technique, JayaNet, has been developed for the very first time for the
optimal design of water distribution pipe networks.
•
It is a parameterless optimization technique.
•
JayaNet performed better than other EAs in terms of optimal cost and number of function
evaluations.
•
The effect of population size on JayaNet convergence is also studied.
•
JayaNet requires far fewer evaluations to reach the reported optimal solution.
Nikita Palod (corresponding author)
Vishnu Prasad
Ruchi Khare
Department of Civil Engineering,
MANIT Bhopal (M.P.),
Bhopal,
Madhya Pradesh 462003,
India
E-mail: npalod@gmail.com
3068 © IWA Publishing 2020 Water Supply | 20.8 | 2020
doi: 10.2166/ws.2020.200
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