Black box evolutionary mathematical modeling applied to linear systems: Research Articles

Authors:
Oscar Montiel;Oscar Castillo;Patricia Melin;Roberto Sepúlveda
Affiliations:
CITEDI-IPN, National Polytechnic Institute, Av. del Parque #1310, Mesa de Otay, Tijuana, B.C., México;Department of Computer Science, Tijuana Institute of Technology, P.O. Box 4207, Chula Vista, CA 91909, USA;Department of Computer Science, Tijuana Institute of Technology, P.O. Box 4207, Chula Vista, CA 91909, USA;CITEDI-IPN, National Polytechnic Institute, Av. del Parque #1310, Mesa de Otay, Tijuana, B.C., México
Venue:
International Journal of Intelligent Systems - Soft Computing for Modeling, Simulation, and Control of Nonlinear Dynamical Systems
Year:
2005

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Abstract

In this article we analyzed the explorative behavior of the Breeder Genetic Algorithm. We tested this algorithm using fuzzy recombination and the classical discrete mutation operator. A general review of the most common linear model structures is given for recommending where to use this type of evolutionary algorithm. We selected for convenience a finite impulse response structure model because it has global optima; we considered this characteristic advisable for analyzing the evolution of the best and poorest individuals in the population through the generations. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 293–311, 2005.