基于混合模拟退火算法-遗传算法的水库优化调度

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI:10.1109/BICTA.2010.5645168

Yong-yong Zhang, Qiang Huang, Fan Gao, Xiao-yi Sun

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引用次数: 5

摘要

采用模拟退火算法-遗传算法的混合算法研究水库最优调度问题。与遗传算法、POA算法和传统动态规划方法相比，该算法具有更强的全局搜索能力和更好的收敛性，能够快速找到全局最优解。结果表明，混合模拟退火算法-遗传算法是一种有效的优化算法，可应用于水库调度。

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Optimal reservoir operation using a hybrid Simulated Annealing Algorithm-Genetic Algorithm

A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid Simulated Annealing Algorithm-Genetic Algorithm is an effective optimal algorithm and can be applied to the reservoir operation.

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来源期刊

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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