MULTIOBJECTIVE GENETIC PROGRAMMING FOR NONLINEAR-SYSTEM IDENTIFICATION

Authors
RODRIGUEZVAZQUEZ K FLEMING PJ
Citation
K. Rodriguezvazquez et Pj. Fleming, MULTIOBJECTIVE GENETIC PROGRAMMING FOR NONLINEAR-SYSTEM IDENTIFICATION, Electronics Letters, 34(9), 1998, pp. 930-931
Citations number
4
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Electronics Letters → ACNP
ISSN journal
00135194
Volume
34
Issue
9
Year of publication
1998
Pages
930 - 931
Database
ISI
SICI code
0013-5194(1998)34:9<930:MGPFNI>2.0.ZU;2-N
Abstract
Genetic programming is applied to the identification of non-linear pol ynomial models. This approach optimises multiple objectives simultaneo usly, 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 tes ted on the simple Wiener model.