Multi-Reservoir Flood Control Operation Using Improved Bald Eagle Search Algorithm with ε Constraint Method

The reservoir flood control operation problem has the characteristics of multiconstraint, high-dimension, nonlinearity, and being difficult to solve. In order better solve this problem, paper proposes an improved bald eagle search algorithm (CABES) coupled with ε-constraint method (ε-CABES). test performance CABES algorithm, a typical function is used simulate verify CABES. results are compared particle swarm optimization its superiority. further rationality effectiveness method, two single reservoirs multi-reservoir system selected for operation, ε constraint penalty (CF-CABES) compared, respectively. Results show that peak clipping rates ε-CABES CF-CABES both 60.28% Shafan Reservoir 52.03% Dahuofang Reservoir, When solving joint system, only successful, rate 51.76%. Therefore, in single-reservoir have similar effects. However, than method. summary, more reliable effective, which provides new scheduling large reservoirs.