A Study on Intelligent Theory for Reservoir Flood Control Operates

• Main Authors: Tsai Tsung Chih, 蔡宗志
• Other Authors: Li Chen
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/41002930197952480465

碩士 === 中華大學 === 土木工程學系碩士班 === 88 === This paper aims at the system of reservoir flood control operates combining fuzzy inference and genetic algorithms. The most of the system of reservoir flood control operates include must of indetermination and changeability upon time on hydrology. Fuzzy theory providing with gradual characteristic can consider degree of difference. Therefore, it can properly display the system of reservoir flood control operates. A multi-peak function, in the paper, is the identification for the excellent result and the function of every operating part of genetic algorithms. Therefore, the test of the function can reach the purpose of objective comparison. Furthermore, genetic algorithms are applied to search the best parameters of fuzzy theory is rules and best Membership Function. Tested by a supposed example, the results show that the theory can be a very effective real-time reservoir operation support tool.