Title :
Hybrid simplex genetic algorithm for blind equalization using RBF networks
Author :
Lin, Hai ; Yamashita, Katsumi
Author_Institution :
Ryukyus Univ., Okinawa, Japan
Abstract :
The purpose of the paper is to derive a simplex genetic algorithm (GA) for blind equalization using RBF networks. In order to reduce the computation cost, this algorithm searches the center´s elements instead of centers because of the inter-relation between the centers. Furthermore, by introducing the simplex operator into the GA, the proposed algorithm presents a fast convergence characteristic in simulation
Keywords :
convergence of numerical methods; digital communication; digital simulation; genetic algorithms; interference (signal); radial basis function networks; telecommunication computing; RBF networks; blind equalization; computation cost; fast convergence characteristic; hybrid simplex genetic algorithm; simplex operator; simulation; Bayesian methods; Binary sequences; Blind equalizers; Computational efficiency; Convergence; Digital communication; Genetic algorithms; Intersymbol interference; Nonlinear distortion; Radial basis function networks;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.885026
