Developments in Multi-Objective Dynamic Optimization Algorithm for Design of Water Distribution Mains

Amin Minaei (), Adell Moradi Sabzkouhi (), Ali Haghighi () and Enrico Creaco ()
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Amin Minaei: University of Pavia
Adell Moradi Sabzkouhi: Agricultural Sciences and Natural Resources University of Khuzestan
Ali Haghighi: Shahid Chamran University of Ahvaz
Enrico Creaco: University of Pavia

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 9, No 5, 2699-2716

Abstract: Abstract This paper presents some developments in the optimization effectiveness for the dynamic design of water distribution networks (WDNs), tackled employing multi-objective genetic algorithms. Unlike the traditional single-phase design, the dynamic multi-phase design operates on planning WDN upgrades on short time intervals, also called phases or stages, while fitting them into a long-term planning horizon, thus requiring bespoke research efforts for the improvement of the optimization effectiveness. A modified version of dynamic NSGA-II optimization is introduced here, including: no penalty on the objective functions for infeasible solutions, adoption of engineering judgments in the construction of optimization individuals, restricting the number of parallel pipes at each site. This results in the improvement of convergence speed and solution quality in two case studies with different complexities.

Keywords: Water distribution networks; Design; Dynamic optimization; Engineering judgment; Efficiency; Multi-phase (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11269-020-02559-8

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