2016 journal article
Parallel Evolutionary Algorithm for Designing Water Distribution Networks to Minimize Background Leakage
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 142(5).
author keywords: Genetic algorithm; NSGA-II; Parallel programming; Water distribution system leak management; Battle of background leakage assessment for water networks
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
AbstractLeaks in water distribution systems waste energy and water resources, increase damage to infrastructure, and may allow contamination of potable water. This research develops an evolutionary algorithm-based approach to minimize the cost of water loss, new infrastructure, and operations that reduce background leakage. A new design approach is introduced that minimizes capital and operational costs, including energy and water loss costs. Design decisions identify a combination of infrastructure improvements, including pipe replacement and valve installment, and operation rules for tanks and pumps. Solution approaches are developed to solve both a single-objective and multiobjective problem formulation. A genetic algorithm and a nondominated sorting genetic algorithm are implemented within a high-performance computing platform to select tank sizes, pump placement and operations, placement of pressure-reducing valves, and pipe diameters for replacing pipes. The evolutionary algorithm approaches identif...