Title :
Optimal reservoir operation using a hybrid Simulated Annealing Algorithm-Genetic Algorithm
Author :
Zhang, Yong-Yong ; Huang, Qiang ; Gao, Fan ; Sun, Xiao-Yi
Author_Institution :
Key Lab. of Northwest Water Resources & Environ. Ecology of MOE, Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid Simulated Annealing Algorithm-Genetic Algorithm is an effective optimal algorithm and can be applied to the reservoir operation.
Keywords :
dispatching; genetic algorithms; reservoirs; simulated annealing; POA; convergence property; hybrid simulated annealing algorithm-genetic algorithm; inflow trend; optimal dispatching rule; optimal reservoir operation; traditional dynamic programming; Gallium; global optimization solution; optimal algorithm; optimal reservoir operation; simulated annealing algorithm-genetic algorithm;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645168
