A heuristic algorithm for optimal cost design of gravity-fed water distribution networks. a real case study
Applied Mathematical Modelling, ISSN: 0307-904X, Vol: 95, Page: 379-395
2021
- 4Citations
- 25Captures
- 1Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this work, we put forward a new algorithm for minimizing the total cost of gravity-fed water distribution networks (WDN) by optimally choosing pipe diameters. Our approach is based on network theory and heuristic procedures and aims at overcoming a number of limitations found in the current scientific literature. WDN optimization problems belong to those that are discrete, non-linear and non-convex, making the use of standard optimization algorithms inefficient. Furthermore, resorting to metaheuristic search techniques to test many different solutions has an exceedingly expensive computational cost, due to the inherent complexity of the problem. Here we present an efficient heuristic algorithm that circumvents these limitations, exploiting detailed aspects, such as the specific network topology. In order to check the capability of the algorithm in a realistic setting, we have developed and analyzed a mathematical model of a water distribution network in a Spanish municipality, considerably larger than those addressed in previous works. Our numerical results indicate significant potential construction savings over current design practices, which justifies the interest of our approach in addressing this class of optimization problems.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0307904X21000925; http://dx.doi.org/10.1016/j.apm.2021.02.015; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102061105&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0307904X21000925; https://dx.doi.org/10.1016/j.apm.2021.02.015
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know