An evolutionary approach to the automatic generation of mathematical models

Swain, Anjan Kumar; Morris, Alan S.*

dc.contributor.author	Swain, Anjan Kumar
dc.contributor.author	Morris, Alan S.*
dc.date.accessioned	2015-03-19T10:06:09Z
dc.date.available	2015-03-19T10:06:09Z
dc.date.issued	2003
dc.identifier.uri	http://hdl.handle.net/2259/260
dc.description	2003 Elsevier Science B.V. All rights reserved.	en_US
dc.description.abstract	This paper deals with the development and analysis of an efficient, evolutionary, intelligent, data-based, mathematical modelling method for complex non-linear systems. A new hybrid evolutionary method using genetic programming (GP) and evolutionary programming approaches is proposed. The potentials of the hybrid method for modelling complex, dynamic systems including single and two-link terrestrial manipulator systems are investigated and simulation results are presented.	en_US
dc.language.iso	en	en_US
dc.publisher	Elsevier, Applied Soft Computing	en_US
dc.subject	Genetic programming	en_US
dc.subject	Evolutionary programming	en_US
dc.subject	Evolutionary computation	en_US
dc.subject	Single-link manipulator	en_US
dc.subject	Two-link manipulator	en_US
dc.title	An evolutionary approach to the automatic generation of mathematical models	en_US
dc.type	Article	en_US