In this paper, a new approach, the Genetic Simulated Annealing (GSA), wasproposed for optimizing the parameters in the Muskingum routing model. By integrating the simulatedannealing method into the genetic algorithm, ...In this paper, a new approach, the Genetic Simulated Annealing (GSA), wasproposed for optimizing the parameters in the Muskingum routing model. By integrating the simulatedannealing method into the genetic algorithm, the hybrid method could avoid some troubles oftraditional methods, such as arduous trial-and-error procedure, premature convergence in geneticalgorithm and search blindness in simulated annealing. The principle and implementing procedure ofthis algorithm were described. Numerical experiments show that the GSA can adjust the optimizationpopulation, prevent premature convergence and seek the global optimal result. Applications to theNanyunhe River and Qingjiang River show that the proposed approach is of higher forecast accuracyand practicability.展开更多
文摘In this paper, a new approach, the Genetic Simulated Annealing (GSA), wasproposed for optimizing the parameters in the Muskingum routing model. By integrating the simulatedannealing method into the genetic algorithm, the hybrid method could avoid some troubles oftraditional methods, such as arduous trial-and-error procedure, premature convergence in geneticalgorithm and search blindness in simulated annealing. The principle and implementing procedure ofthis algorithm were described. Numerical experiments show that the GSA can adjust the optimizationpopulation, prevent premature convergence and seek the global optimal result. Applications to theNanyunhe River and Qingjiang River show that the proposed approach is of higher forecast accuracyand practicability.
