| 遗传算法和蚁群算法在水库优化调动中的联合应用 |
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| 引用本文： | 刘文亮.遗传算法和蚁群算法在水库优化调动中的联合应用[J].科技情报开发与经济,2009,19(14). |
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| 作者姓名： | 刘文亮 |
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| 作者单位： | 水利部山西省水利水电勘测设计研究院,山西太原,030024 |
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| 摘 要： | 为了更好地解决水库优化调度问题,将遗传算法和蚁群算法融合应用于水库调度,指出遗传蚁群混合算法的收敛率更高,具有更好的全局收敛性能,遗传蚁群混合算法在更少的迭代次数迭到全局最优解,具有更高的收敛速度.
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| 关 键 词： | 遗传算法 蚁群算法 遗传蚁群算法 水库优化调度 |
The Joint Application of Genetic Algorithm(GA)and Ant Colony Optimization (ACO) in the Reservoir's Optimal Operation |
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| LIU Wen-jiang.The Joint Application of Genetic Algorithm(GA)and Ant Colony Optimization (ACO) in the Reservoir's Optimal Operation[J].Sci-Tech Information Development & Economy,2009,19(14). |
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| Authors: | LIU Wen-jiang |
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| Abstract: | In order to solve better the reservoir's optimal operation, this paper makes the joint application of the genetic algorithm and ant colony optimization algorithm in the reservoir operation, and points out that the GA_ACO, which has the higher the convergence rate and the better global astringency, has higher constringency speed for converging to the globally optimal solution in less iterative number. |
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| Keywords: | GA ACO GA-ACO reservoir optimal operation |
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