Reservoir Flood Control Operation Based on Particle Swarm Optimization Algorithm with Dynamic Parameters of Position
Lin Qiu · Water Resources and Power · 2007
The paper introduces a particle swarm optimization algorithm based on swarm intelligence,which is easy implementation and fast convergence with few parameters.Aimed at the disadvantage of the standard PSO,this paper proposes the method by introducing dynamic parameters into the position evolutionary equation,which improves the convergence speed of the PSO.Modified Particle Swarm Optimization algorithm is used to solve reservoir optimal dispatching problem.The feasibility and effectiveness of the proposed algorithm is verified by the application example.