The Application of Optimization Techniques in Water Distribution Networks
Abstract
particular focus on Linear Programming (LP). The research explores LP's role in enhancing the efficiency, reliability, and
cost-effectiveness of WDN, illustrating its application through the case study of the Trentino Water Distribution Network.
Key aspects like system design, operational optimization, and emergency response are discussed, highlighting LP's strengths
and limitations, especially for its reliance on linearity and parameter sensitivity. The study also briefly touches upon other
methods like Multi-objective Optimization, Machine Learning, and Genetic Algorithms, while suggesting the potential
integration of Dynamic Programming to address LP's constraints. This comprehensive analysis aims to offer insights into
optimizing WDN for future sustainability and resilience, emphasizing the evolving nature of optimization techniques in
response to contemporary challenges.
Keywords
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DOI: https://doi.org/10.18686/pes.v5i4.2138
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