DocumentCode
2465017
Title
Extending XCSFG beyond Linear Approximation
Author
Hamzeh, Ali ; Rahmani, Adel
Author_Institution
Iran Univ. of Sci. & Technol., Tehran
fYear
0
fDate
0-0 0
Firstpage
2246
Lastpage
2253
Abstract
XCSFG is a new version of XCSF with the ability of computing the environmental payoffs using Genetic Algorithm. In the first version of XCSFG, this computation was done by evolving coefficients of the associated linear payoff functions. In this paper, we extend XCSFG to approximate the payoff functions in the form of higher order polynomials. Our newly proposed method uses a new representation of chromosomes which is designed for function approximation. It is applied to some benchmark problems and is compared with XCSF and XCSFG.
Keywords
environmental factors; function approximation; genetic algorithms; environmental payoffs; function approximation; genetic algorithm; higher order polynomials; linear approximation; Biological cells; Computer architecture; Counting circuits; Equations; Function approximation; Genetic algorithms; Input variables; Linear approximation; Polynomials; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688585
Filename
1688585
Link To Document