Parameter identification problem: Real-coded GA approach
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摘要
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.
论文关键词：Continuous stirred tank reactor CSTR,Dynamic parameter setting,Genetic algorithms,Modeling,Parameter identification,Real-coded genetic algorithm
论文评审过程：Available online 31 October 2006.
论文官网地址：https://doi.org/10.1016/j.amc.2006.09.102
