水库优化调度研究进展和发展趋势

回顾了水库优化调度的进展，并简单介绍了遗传进化算法、神经网络方法及微粒群方法、蚁群算法等智能（仿生）优化方法。在此基础上从理论研究和管理两方面提出了水库优化调度研究中所存在的一些问题，并对水库优化调度研究未来的发展趋势进行了展望，即在水库调度研究方面大规模、高强度地应用高新技术，实现调度决策的科学化、智能化、敏捷化，提升调度决策的技术水平，使水库调度研究不断朝着可视、交互、智能、集成化的方向发展。

Reservoir Optimal Operation and Development Trend Research

This paper outlines the development and utilization of water resources and reservoirs,the importance of optimal scheduling to review the progress of the reservoir optimal scheduling,and a brief introduction of recent new developments in genetic evolutionary algorithms,neural network method and particle swarm method,ant colony algorithm intelligence（Bionic） optimization method.On this basis,both from the theoretical study and management put forward a reservoir optimal scheduling in some of the problems that exist,and reservoir optimization of scheduling research the future development trend was predicted that,in reservoir operation research,large-scale,high-intensity land application of high-tech,to achieve scheduling decisions more scientific and intelligent,agile,improve scheduling decision-making skills,so that reservoir operation research continues toward the visual,interactive,intelligent,integrated direction.