Abstract With the acceleration of urbanization and the frequent occurrence of extreme weather, traditional flood control and drainage scheduling methods face challenges such as low computational efficiency and single optimization objectives when dealing with complex urban river network systems. The article proposes a hybrid intelligent algorithm (GA-PSO) that combines the global search capability of genetic algorithm (GA) with the fast convergence characteristics of particle swarm optimization (PSO), and construct…