Natural Computing In Pump-Scheduling Optimization For Water Supply System: Case Study

The electrical energy cost represents a significant fraction of the total cost in a water supply system. Any optimization in pumping operational procedures results in a reduction of this cost. The aim of this paper is the optimization of pump operation in a water distribution system, located at Guarapuava, Brazil. For this, we used two techniques of Natural Computing: Genetic Algorithms and Shuffled Frog Leaping Algorithm. Both techniques were effective when comparing with a traditional approach. However, in our experiments, the SFLA achieved lower costs.