BBLAWN: a Combined Use of Best Management Practices and an Optimization Model Based on a Pseudo-Genetic Algorithm
Keywords: optimization, genetic algorithms, Background Leakage, Pressure Reducing Valves
Abstract
The paper presents a solution to the problem of the Battle of Background Leakage Assessment for Water Networks (BBLAWN) using a methodology that combines the use of Best Management Practices (BMPs) and an optimization model based on a Pseudo-Genetic Algorithm (PGA) as described in [1]. In a first stage, an analysis of marginal costs of pipes whose replacement would be potentially recommended was performed. Next, a network topological analysis to study the pipes that could potentially be closed in order to facilitate pressure control was done. Furthermore, a methodology for studying branched areas was also developed, determining possible location for pressure reducing valves (PRV). A significant reduction in the number of decision variables was obtained and a specific optimization model was developed. (C) 2014 The Authors. Published by Elsevier Ltd.
Más información
Título según WOS: | BBLAWN: a Combined Use of Best Management Practices and an Optimization Model Based on a Pseudo-Genetic Algorithm |
Título según SCOPUS: | BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm |
Título de la Revista: | WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM 2016, WMCAUS 2016 |
Volumen: | 89 |
Editorial: | ELSEVIER SCIENCE BV |
Fecha de publicación: | 2014 |
Página de inicio: | 29 |
Página final: | 36 |
Idioma: | English |
DOI: |
10.1016/j.proeng.2014.11.156 |
Notas: | ISI, SCOPUS |