| 基于信息诱导遗传算法的梯级水电站自调度优化 |
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| 引用本文： | 舒隽,韩冰,张粒子. 基于信息诱导遗传算法的梯级水电站自调度优化[J]. 水力发电学报, 2011, 30(2): 32-37 |
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| 作者姓名： | 舒隽 韩冰 张粒子 |
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| 作者单位： | 1. 华北电力大学电气与电子工程学院,北京,102206
2. 中国长江电力股份有限公司,北京,100140 |
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| 摘 要： | 借鉴信息素对昆虫群体协调行为的作用,建立信息素释放模型、信息素扩散模型、信息诱导模型和信息定向模型,提出信息诱导算子(Pheromone Induction Operator,PIO),并与改进遗传算法(Improved Genetic Algorithm,IGA)相结合,形成信息诱导遗传算法(Pheromone In...
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| 关 键 词： | 水电工程 梯级水电 优化调度 信息诱导遗传算法 |
Self-scheduling of cascaded hydropower stations based on pheromone induction genetic algorithm |
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| SHU Jun , HAN Bing , ZHANG Lizi. Self-scheduling of cascaded hydropower stations based on pheromone induction genetic algorithm[J]. Journal of Hydroelectric Engineering, 2011, 30(2): 32-37 |
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| Authors: | SHU Jun HAN Bing ZHANG Lizi |
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| Affiliation: | SHU Jun1,HAN Bing2,ZHANG Lizi1(1.School of Electrical & Electronic Engineering,North China Electric Power University,Beijing 102206,2.China Yangtze Power Co.,Ltd.Beijing 100140) |
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| Abstract: | |
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| Keywords: | hydropower engineering cascaded hydropower stations optimal scheduling pheromone induction genetic algorithm |
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