Multi-objective genetic programming for nonlinear system identification

被引:17
作者
Rodriguez-Vazquez, K [1 ]
Fleming, PJ [1 ]
机构
[1] Univ Sheffield, Sheffield S1 3JD, S Yorkshire, England
关键词
D O I
10.1049/el:19980632
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Genetic programming is applied to the identification of non-linear polynomial models. This approach optimises multiple objectives simultaneously, and the solution set provides a trade-off between the complexity and the performance of the models. This is achieved using the concept of the non-dominated or Pareto-optimal solutions. The approach is tested on the simple Wiener model.
引用
收藏
页码:930 / 931
页数:2
相关论文
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