
Genetic Algorithms Applied to Time-Frequency Least
Squares Mix-Criterion for Reduced Order Modeling
Wu Tao,Yu Junqi, Huang Yongxuan, Hu Bosheng
(Xi'an Jiaotong University, Xi'an 710049, China)
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Abstract: Time-frequency least squares mix-criterion is applied to reduce
order modeling, and genetic algorithms are developed to solve the problem. The method
overcomes the disadvantages of traditional techniques and provides better results.
Keywords: genetic algorithms;norm;reduced order