Title :
The model of optimizing the function of reservoir operation based on genetic programming
Author :
Zhou, Xiao-Xi ; Wang, Xian-jia ; Zhu, Zhong-Yun
Author_Institution :
Inst. of Syst. Eng., Wuhan Univ., China
Abstract :
The function of reservoir operation is generally obtained by using the statistic analysis tools. This paper introduces genetic programming based on the statistic analysis tools, the genetic programming way changes the randomness due to utilizing the statistic analysis tools to search the best function of reservoir operation, then a case study illustrates that the method is effective and available in optimizing the function of reservoir operation.
Keywords :
civil engineering computing; digital simulation; genetic algorithms; statistical analysis; water supply; genetic programming; reservoir operation function optimization; statistic analysis tools; Algorithm design and analysis; Analysis of variance; Design optimization; Genetic programming; Optimization methods; Reservoirs; Statistical analysis; Time sharing computer systems; Tree data structures; Water resources;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167497