TY - JFULL AU - R. Rajabpour and N. Talebbeydokhti and M. H. Ahmadi PY - 2015/10/ TI - Using Jumping Particle Swarm Optimization for Optimal Operation of Pump in Water Distribution Networks T2 - International Journal of Civil and Environmental Engineering SP - 1199 EP - 1204 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10002455 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 105, 2015 N2 - Carefully scheduling the operations of pumps can be resulted to significant energy savings. Schedules can be defined either implicit, in terms of other elements of the network such as tank levels, or explicit by specifying the time during which each pump is on/off. In this study, two new explicit representations based on timecontrolled triggers were analyzed, where the maximum number of pump switches was established beforehand, and the schedule may contain fewer switches than the maximum. The optimal operation of pumping stations was determined using a Jumping Particle Swarm Optimization (JPSO) algorithm to achieve the minimum energy cost. The model integrates JPSO optimizer and EPANET hydraulic network solver. The optimal pump operation schedule of VanZyl water distribution system was determined using the proposed model and compared with those from Genetic and Ant Colony algorithms. The results indicate that the proposed model utilizing the JPSO algorithm is a versatile management model for the operation of realworld water distribution system. ER -