Optimal Flood-Control Operation of Cascade Reservoirs Using an Improved Particle Swarm Optimization Algorithm

Optimal Flood-Control Operation of Cascade Reservoirs Using an Improved Particle Swarm Optimization Algorithm

Optimal reservoir operation is an important measure for ensuring flood-control safety and reducing disaster losses. The standard particle swarm optimization (PSO) algorithm can find the optimal solution of the problem by updating its position and speed, but it is easy to fall into a local optimum. I...

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Bibliographic Details
Main Authors: Diao, Y. (Author), Li, S. (Author), Li, X. (Author), Ma, H. (Author), Pan, J. (Author), Qiu, Q. (Author), Wang, H. (Author), Wang, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Boltzmann equation
Cascade reservoir systems
cascade reservoirs
Cascade reservoirs
Flood control
Floods
Improved particle swarm optimization algorithms
Iterative methods
Measured values
Optimal flood control operations
optimal operation
Optimal operation
Optimal reservoir operations
outflow
Outflow
Particle swarm optimization (PSO)
Particle swarm optimization algorithm
Reservoirs (water)
SAPSO algorithm
Simulated annealing
Simulated annealing particle swarm optimization algorithms
Water levels
Online Access:View Fulltext in Publisher

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