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 :
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