Implementing eco-friendly reservoir operation by using genetic algorithm with dynamic mutation operator

Authors:
Duan Chen;Guobing Huang;Qiuwen Chen;Feng Jin
Affiliations:
Changjiang River Scientific Research Institute, Jiuwanfang, Wuhan, China and Research Center for Eco-environmental Science, Chinese Academy of Sciences, Beijing, China;Changjiang River Scientific Research Institute, Jiuwanfang, Wuhan, China;Research Center for Eco-environmental Science, Chinese Academy of Sciences, Beijing, China;Changjiang River Scientific Research Institute, Jiuwanfang, Wuhan, China
Venue:
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Year:
2010

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Abstract

Simple Genetic Algorithms (SGA) uses a constant rate in mutation operator and may leads to pre-convergence and local optimal deficiency, especially for the problem with many nonlinear constraints such as eco-friendly reservoir operation. The study adapted SGA with a double dynamic mutation operator and developed an optimization model of eco-friendly reservoir operation, and applied it to the cascade reservoirs in the Southwest of China. It is shown that the adaptive GA with the dynamic mutation operator can fulfil the goal of eco-friendly reservoir operation and it was enhanced in search accuracy and global searching ability in comparison with SGA.