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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.14944035 |
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| author | Parimala H A |
| author_facet | Parimala H A |
| contents | <p>Water distribution networks (WDNs) are critical infrastructure systems that ensure the reliable and efficient delivery of potable water to communities. However, the design and optimization of these networks present significant challenges due to their inherent complexity, non-linearity, and the need to balance conflicting objectives such as cost, reliability, and water quality. This paper presents a comprehensive approach to the design and optimization of WDNs, integrating advanced optimization techniques with hydraulic simulation and performance evaluation. We explore a range of optimization algorithms, including genetic algorithms (GAs), particle swarm optimization (PSO), and hybrid approaches, to determine optimal pipe diameters and pump configurations. The experimental work involves the development of a simulation-optimization framework, utilizing EPANET for hydraulic modeling and MATLAB for algorithm implementation. The results demonstrate the effectiveness of the proposed approach in achieving significant cost reductions while maintaining desired levels of hydraulic performance and reliability. A detailed discussion of the trade-offs between different design objectives and the sensitivity of the optimization results to various parameters is provided. This research contributes to the advancement of WDN design methodologies, offering practical insights for engineers and decision-makers involved in water resource management.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14944035 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Design and Optimization of Water Distribution Networks. Parimala H A Water Distribution Networks (WDNs) Optimization Genetic Algorithms (GAs) <p>Water distribution networks (WDNs) are critical infrastructure systems that ensure the reliable and efficient delivery of potable water to communities. However, the design and optimization of these networks present significant challenges due to their inherent complexity, non-linearity, and the need to balance conflicting objectives such as cost, reliability, and water quality. This paper presents a comprehensive approach to the design and optimization of WDNs, integrating advanced optimization techniques with hydraulic simulation and performance evaluation. We explore a range of optimization algorithms, including genetic algorithms (GAs), particle swarm optimization (PSO), and hybrid approaches, to determine optimal pipe diameters and pump configurations. The experimental work involves the development of a simulation-optimization framework, utilizing EPANET for hydraulic modeling and MATLAB for algorithm implementation. The results demonstrate the effectiveness of the proposed approach in achieving significant cost reductions while maintaining desired levels of hydraulic performance and reliability. A detailed discussion of the trade-offs between different design objectives and the sensitivity of the optimization results to various parameters is provided. This research contributes to the advancement of WDN design methodologies, offering practical insights for engineers and decision-makers involved in water resource management.</p> <p> </p> |
| title | Design and Optimization of Water Distribution Networks. |
| topic | Water Distribution Networks (WDNs) Optimization Genetic Algorithms (GAs) |
| url | https://doi.org/10.5281/zenodo.14944035 |