Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification
نویسندگان
چکیده
منابع مشابه
Cluster Based Multiobjective Genetic Programming in Nonlinear Systems Identification
Multivariable nonlinear systems identification is addressed, in the following, by means of enhanced multiobjective evolutionary optimisation. The paper suggests a customised genetic programming algorithm that generates nonlinear linear in parameter models, according to a mathematical pattern that has been proven to be a universal approximator. In order to efficiently exploit the parameter wise ...
متن کاملMultiobjective Genetic Programming: a Nonlinear System Identification Application
Genetic programming (GP) is applied to a multobjective optimisation problem and the advantages of its hierarchical tree encoding scheme are compared with an earlier use of a subset representation approach which used string-encoded genetic algorithms. The GP approach is applied to the identification of non-linear system polynomial models and provides a trade-off between the complexity and the pe...
متن کاملMultiple Genetic Programming Based Techniques for Nonlinear Systems Identification By
The issue of nonlinear systems identification is addressed, in the following, by means of genetic programming, as this method is well known for providing a robust and unsupervised data driven model selection mechanism. The generated models are nonlinear, linear in parameter, a mathematical formalism that facilitates the use of a local optimisation procedure based on QR decomposition, to aid in ...
متن کاملProposal Genetic Programming Based Tools for Nonlinear Systems Identification
The Doctoral Consortium of the 2010 IEEE International Conference on Networking, Sensing and Control was held on April 11, 2010, in Chicago, USA. The objective of this Doctoral Consortium is to provide an opportunity for the Ph.D. students to discuss their dissertation research topics, research plans, and research methodologies with peers in the community, and use such feedbacks and suggestions...
متن کاملNonlinear Model Structure Identification Using Genetic Programming
Genetic programming can be used to evolve an algebraic expression as part of an equation representing measured input-output response data. Parts of the nonlinear differential equations describing a dynamic system are identified along with their numerical parameters using genetic programming. The results of several such optimisations are analysed to produce a nonlinear physical representation of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Electrical and Computer Engineering
سال: 2010
ISSN: 1582-7445,1844-7600
DOI: 10.4316/aece.2010.01017