The water distribution network (WDN) design comprises determining optimal pipe sizes to achieve minimum cost pipe network to meet the required demands and performance levels. However, with time, the water demand for any region changes due to population, migration, and lifestyles, so interventions need to be made to the existing WDNs.
This paper investigates the use of surrogate measures as potential substitutes for reliability in multiobjective design of water distribution networks (WDNs). Assessing WDN reliability with conventional hydraulic and mechanical reliability metrics may require substantial computational time and resources, which becomes more critical as the network size increases.
Design of Water Distribution Networks (WDNs) is an NP hard problem, which is typically an optimization problem consisting of a large search space even for a small sized WDN. Design of a robust WDN requires consideration of aspects such as reliability, resiliency etc.
This paper presents the application of Self-Adaptive Differential Evolution (SADE) algorithm for reliability-based design of Water Distribution Networks (WDNs). The algorithm is first applied and tested for deterministic design of various benchmark WDNs.