European Journal of Theoretical and Applied Sciences, Год журнала: 2025, Номер 3(2), С. 334 - 347
Опубликована: Март 27, 2025
Water distribution networks (WDNs) are vital infrastructures designed to ensure a minimum acceptable supply level consumers under different operating conditions throughout the design period. Due their complexity and substantial investment required for construction maintenance, economic aspects have become primary focus researchers engineers. Various evolutionary algorithms (EAs), such as genetic algorithm (GA), been utilized achieve cost minimization while fulfilling hydraulic requirements. This study uses Parallel Slime Mould Algorithm (PSMA), variant of slime mould (SMA) developed by Wang et al., implemented solve mathematical optimization WDNs. The PSMA incorporates Hazen-Williams equation calculating head loss pressure constraints feasibility solution. proposed method is applied benchmark network compared with results from GA used Savic. proved effective in optimizing WDN, achieving reduction approximately 6.08% maintaining feasibility. However, pipe sizes showed notable differences, favoring larger diameters most pipes except 2. These highlight potential powerful tool WDN optimization, particularly when priority.
Язык: Английский