Abstract
In this paper, we propose a novel genetic algorithm with a multi-crossover fashion to estimate the associated coefficients for a class of nonlinear discrete-time multivariable dynamical systems. Different from the traditional crossover which is to use only two chromosomes in parents generation to cross by each other, the modified algorithms are based on the model of a multiple crossover to precisely improve the adjusting direction for problem solutions so that more excellent offspring can be generated. Compared with the traditional crossover scheme, the simulated example for nonlinear multivariable systems are used to illustrate the efficiency of the proposed multiple crossover algorithms.
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