Abstract

Water distribution systems (WDSs) are critical for providing societal convenience and welfare. However, designing an efficient WDS can be challenging owing to the need to satisfy various parameters and hydraulic conditions, such as physical parameters like pipe diameter and length, and minimum required water pressure at each node. To tackle these constraints, several studies have utilized metaheuristic optimization algorithms for the optimal design of WDSs. In this study, we used a modified hybrid vision correction algorithm (MHVCA) to determine the optimal designs of different WDSs. To assess the performance of MHVCA prior to its application in optimizing the WDS design, its effectiveness was evaluated by applying it to a mathematical problem. Subsequently, the optimal design of the WDS was determined by employing a MHVCA, and its performance was verified. The results demonstrate that MHVCA achieved a maximum of 1.5% lower average cost than the other algorithms as the pipe network complexity increased. These results suggest that the optimal design results obtained using the MHVCA can be applied to other WDS problems not considered in this study.

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