Paper Info
Title
A New Architecture of XCS to Approximate Real-Valued Functions Based on High Order Polynomials Using Variable-Length GA
Abstract
XCSFG is a new version of XCSF with the ability of computing the environmental payoff 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 GA with variable-length chromosome with real-valued representation. This new version of XCSFG is called XCSFG, the Continuous version or XCSFGC. It is applied to some benchmark problems and is compared with the original XCSF and its newly introduced extensions.
Year
DOI
Venue
2007
10.1109/ICNC.2007.86
ICNC
Keywords
DocType
ISBN
higher order polynomial,genetic algorithm,new version,payoff function,environmental payoff,original xcsf,linear payoff function,real-valued representation,continuous version,new architecture,variable-length ga,benchmark problem,real-valued functions,high order,value function,function approximation,higher order,genetic algorithms
Conference
0-7695-2875-9
Citations 
PageRank 
References 
3
0.39
9
Authors
2
Name
Order
Citations
PageRank
Ali Hamzeh121429.47
Adel Torkaman Rahmani213919.77