Evolution of mathematical models of chaotic systems based on multiobjective genetic programming
- 1 August 2005
- journal article
- Published by Springer Nature in Knowledge and Information Systems
- Vol. 8 (2) , 235-256
- https://doi.org/10.1007/s10115-004-0184-3
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Evolutionary Algorithms for Solving Multi-Objective ProblemsPublished by Springer Nature ,2002
- Application of system identification techniques to aircraft gas turbine enginesControl Engineering Practice, 2001
- Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulationIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
- Toward a computable approach to the efficient market hypothesis: An application of genetic programmingJournal of Economic Dynamics and Control, 1997
- GLOBAL NONLINEAR POLYNOMIAL MODELS: STRUCTURE, TERM CLUSTERS AND FIXED POINTSInternational Journal of Bifurcation and Chaos, 1996
- Nodal analysis of switched-current filtersIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1993
- Model validity tests for non-linear signal processing applicationsInternational Journal of Control, 1991
- Representations of non-linear systems: the NARMAX modelInternational Journal of Control, 1989
- The double scroll familyIEEE Transactions on Circuits and Systems, 1986
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974