中文摘要：

为了给决策者提供更加丰富的信息支持,本文在进化多目标优化算法NSGAII的框架下,设计了一种基于改进NSGAII算法的水库多目标防洪调度算法（RFC-I-NSGAII）。该算法采用下泄流量编码方式,并针对水库防洪调度问题设计了一种Inver-Over变异算子。仿真实验结果表明,RFC-I-NSGAII获得了一组收敛性更好,分布更宽广的Pareto最优调度方案,实现了削减洪峰的目的。实验也验证了Inver-Over变异算子能够有效加速算法的收敛,提高了算法的求解效率。

英文摘要：

To provide more information support to decision making, this paper puts forward an improved NSGAII algorithm for multi-objectives reservoir flood dispatching （RFC-I-NSGAII） , using the framework of evolutionary muhi-objective optimization algorithm NSGAII. In this algorithm, coding based on discharging flow is adopted and a novel inver-over mutation operator is designed for reservoir flood dispatching. Simulation tests indicate that it can produce a set of Pareto optimal scheduling schemes with faster convergence and wider distrib ution, realizing the flood peak reducing goal. The efficiency of this operator, a contributor to acceleration and improvement on solution efficiency, was verified by the experiment.