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《Hydropower Automation and Dam Monitoring》 2009-01
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Bee-swarm Genetic Algorithm and Its Application in Optimal Operation of Group Reservoirs

BAI Tao,HUANG Qiang(Xi'an University of Technology Water Resources Institute,Xi'an 710048,China)  
Based on the principle of Bee-Swarm breeding,an improved genetic algorithm called bee-swarm genetic algorithm is introduced.The improved genetic operator is used to solve the contradiction between the pressure of selection and the population diversity in traditional genetic algorithms.Then the BSGA is employed in the study of optimal operation of cascade reservoirs,yielding a reasonable global optimal solution,in the calculation example of the optimal operation for the Qingjiang cascade reservoirs,and thus its reliability and usefulness are verified.
【Fund】: 国家自然科学基金资助项目(50779053)
【CateGory Index】: TV697.11
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