| 基于自适应遗传算法的金盆水库优化调度研究 |
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| 引用本文： | 付永锋 沈冰 李智录 张西乾. 基于自适应遗传算法的金盆水库优化调度研究[J]. 水电能源科学, 2004, 22(3): 47-50 |
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| 作者姓名： | 付永锋 沈冰 李智录 张西乾 |
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| 作者单位： | 1. 西安理工大学,水资源研究所,陕西,西安,710048
2. 西安黑河工程指挥部技术处,陕西,西安,710061 |
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| 摘 要： | 根据黑河金盆水库的具体情况。建立了水库优化调度的多目标非线性数学模型。分别利用动态规划、遗传算法和自适应遗传算法求解模型。结果表明，自适应遗传算法由于能够根据群体适应度的分散程度以及个体优劣进行参数的自适应调整。使得算法在保持种群多样性的同时，保证算法的收敛性，其收敛速度和计算结果都明显优于其他两种算法。
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| 关 键 词： | 优化调度 遗传算法 动态规划 |
| 文章编号： | 1000-7709(2004)03-0047-04 |
| 修稿时间： | 2004-02-25 |
Application of Adaptive Genetic Algorithms to Optimal Dispatching of Jinpen Reservoir |
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| FU Yong-feng SHEN Bing LI Zhi-lu ZHANG Xi-qian. Application of Adaptive Genetic Algorithms to Optimal Dispatching of Jinpen Reservoir[J]. International Journal Hydroelectric Energy, 2004, 22(3): 47-50 |
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| Authors: | FU Yong-feng SHEN Bing LI Zhi-lu ZHANG Xi-qian |
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| Affiliation: | FU Yong-feng~1 SHEN Bing~1 LI Zhi-lu~1 ZHANG Xi-qian~2 |
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| Abstract: | Based on the analysis of the characteristic situation of Jinpen Reservoir, a comprehensive optimal operation model is developed with consideration of its multi-objective and nonlinear features. The model is based on methods of dynamic programming, the simple genetic algorithm and the adaptive genetic algorithm. It is showed that the adaptive genetic algorithm, with the character of its parameter adjusted adaptively according to the dispersion degree of population and the fitness value of individuals, has the fastest convergence velocity and the best result, compared to other two algorithms. |
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| Keywords: | optimal operation genetic algorithms dynamic programming |
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