| 蜂群遗传算法及在水库群优化调度中的应用 |
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| 引用本文： | 白涛,黄强. 蜂群遗传算法及在水库群优化调度中的应用[J]. 水电自动化与大坝监测, 2009, 33(1): 1-4 |
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| 作者姓名： | 白涛 黄强 |
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| 作者单位： | 西安理工本学水资源研究所,陕西省西安市,710048 |
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| 摘 要： | 介绍了一种基于蜂群繁殖原理的改进遗传算法--蜂群遗传算法(BSGA),采用改进的遗传算子解决了传统遗传算法中"选择压力"和"种群多样性"之间的矛盾.将该算法应用于梯级水库优化调度的研究中,通过对清江梯级水库群优化调度的实例计算,得到了合理的全局最优解,验证了BSGA的可靠性和实用性.
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| 关 键 词： | 水库群 优化调度 蜂群遗传算法 |
| 修稿时间： | 2009-02-07 |
Bee-swarm Genetic Algorithm and Its Application in Optimal Operation of Group Reservoirs |
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| BAI Tao,HUANG Qiang. Bee-swarm Genetic Algorithm and Its Application in Optimal Operation of Group Reservoirs[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2009, 33(1): 1-4 |
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| Authors: | BAI Tao HUANG Qiang |
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| Affiliation: | Xi'an University of Technology Water Resources Institute;Xi'an 710048;China |
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| Abstract: | 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 ... |
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| Keywords: | group reservoirs optimal operation bee-swarm genetic algorithm |
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