Abstract
Optimal reservoir operation of systems is important for effective and efficient management of available water resources for maximum system benefit. Although some optimization techniques have been applied to obtain optimal reservoir scheduling rule, an efficient method in optimal operation of reservoir systems still remain to be required owing to complexity of reservoir system. In this paper, Particle swarm optimization (PSO) with Adaptive random inertia weight (ARIW) is presented for optimizing reservoir operation, which can adjust the probability distribution of random inertia. A case study with actual data from previous literature, the results shows an excellent performance in terms of its optimization results and it has potential in application to complex river systems.