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Parameter identification problem: Real-coded GA approach
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PRE
AI
DOI：10.1016/j.amc.2006.09.102.png)
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摘要
En 中文
Parameter identification problem will be presented, and solved through our new real-coded genetic Algorithm. The algorithm is a modified version from normal GA but it includes biased initialization, dynamic parameters, and elitism. The algorithm will be tested on three cases. (c) 2006 Elsevier Inc. All rights reserved.
Keyword:
continuous stirred tank reactor CSTR
dynamic parameter setting
genetic algorithms
modeling
parameter identification
real-coded genetic algorithm
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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暂无机构信息
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