Preconditioning water distribution network optimization with head loss-based design method
Liu, H; Shoemaker, CA; Jiang, Y; et al.Fu, G; Zhang, C
Date: 28 September 2020
Article
Journal
Journal of Water Resources Planning and Management
Publisher
American Society of Civil Engineers (ASCE)
Publisher DOI
Abstract
This paper develops a new domain knowledge-based initial design method for optimization of water
distribution network design. The new initial water distribution network design method, termed as
Headloss-based Design Preconditioner (HDP), is based on headloss analysis in the supplying path
from source to user. The new HDP-preconditioned ...
This paper develops a new domain knowledge-based initial design method for optimization of water
distribution network design. The new initial water distribution network design method, termed as
Headloss-based Design Preconditioner (HDP), is based on headloss analysis in the supplying path
from source to user. The new HDP-preconditioned search is compared with two algorithms: one
preconditioned on a velocity-based initial design method and a simple genetic algorithm without
preconditioning. The results show the HDP headloss-based method outperforms the Prescreened
Heuristic Sampling Method (PHSM) in terms of the quality of the initial solutions and
computational efficiency on all three cases. HDP also outperforms stochastic initialization on two
of the three cases. The results obtained imply that the proposed domain knowledge-based design
method HDP would be able to also provide effective starting conditions for other optimization
algorithms besides genetic algorithm for large water distribution systems since most optimization
methods are greatly assisted by a good starting condition
Engineering
Faculty of Environment, Science and Economy
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