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分析了人工鱼群算法存在的问题,提出一种改进人工鱼群算法,并将其用于梯级水库群的优化调度.其改进思想是采用动态调整人工鱼视野和步长的方法,较好地平衡了人工鱼群算法的全局搜索能力和局部搜索能力的矛盾;在此基础上,针对算法局部更新策略引起的更新操作前后个体空间位置变化较大,降低收敛速度这一问题,在局部更新时采用了阈值选择的策略.通过实例验证了该改进算法的有效性,并对改进算法的阈值参数进行了率定.
The existing problems of artificial fish swarm algorithm are analyzed and an improved artificial fish swarm algorithm is proposed and applied to the optimal scheduling of cascade reservoir group.The idea of improvement is to adopt the method of dynamically adjusting the visual field and the step length of artificial fish, Balances the contradiction between the global search ability and the local search ability of the ARF algorithm. On the basis of this, aiming at the problem that the individual spatial position changes greatly before and after the update operation caused by the algorithm local updating strategy, and the convergence speed is reduced, The strategy of threshold selection is adopted.The effectiveness of the improved algorithm is verified by an example, and the threshold parameter of the improved algorithm is calibrated.