| 摘要: |
| 在研究新近发展起来的模拟退火算法及其各种改进算法的基础上，提出并构造了一种能识别水质模型参数的、以记忆为基础的直接搜索一模拟退火算法，并在O'connor水质模型参数识别的实例应用中，得到了更优的全局最优解，为水质模型参数识别提供了一条新途径。 |
| 关键词: 直接搜索—模拟退火算法（DSA） 水质模型 参数识别 |
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| 基金项目:国家863计划资助项目(2001AA242121)；教育部博士点基金资助项目(1999049306) |
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| Using direct search-simulated annealing algorithm to identify parameters of a water quality model |
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| Abstract: |
| Parameter identification is a key technique in the establishment of water quality model.A direct search-simulated annealing algorithm (DSA) for parameter identification of a water quality model,which is memory-based,is proposed and has been applied in the parameter identification of O'connor water quality model.Results of a case show an improved performance in finding the global minimum.DSA provides a new way to identify parameters of water quality model. |
| Key words: direct search-simulated annealing (DSA) water quality model parameter identification |
