Study on cascade reservoirs optimal operation based on parallel normal cloud mutation shuffled frog leaping algorithm

To improve the premature convergence problem of traditional shuffled frog leaping algorithm (SFLA), in this paper, cloud model algorithm mix together with SFLA algorithm, then a normal cloud mutation shuffled frog leaping algorithm (normal cloud mutation SFLA, NCM-SFLA) is proposed, which is to make up the shortage of shuffled frog leaping algorithm that is easy to fall into local optimal solution. At the same time, the algorithm is easy to be parallel, parallel extensions are used to parallel optimization of algorithm in multi core environment. Then the algorithms are applied to cascade reservoirs optimal operation. The test case of practical application shows that, compared with the multidimensional dynamic programming algorithm (MDP), NCM-SFLA has better global search ability and fast convergence speed, and the parallel algorithm can effectively shorten the running time of program in the calculation of existing conditions. Moreover, to solve the cascade reservoirs optimal operation is reasonable, effective by using the new algorithms. ©, 2015, Systems Engineering Society of China. All right reserved.