Abstract
Artificial bee colony (ABC) algorithm is a simple, robust and population based stochastic optimization algorithm based on a particular intelligent behavior of honeybee swarms. Non-linear rational model has been one of the most popular non-linear autoregressive moving average with exogenous input (NARMAX) sub-model sets. In this study, an approach based on artificial bee colony algorithm for estimating the parameters of non-linear rational models is presented. The effectiveness of the ABCE algorithm is initially demonstrated by some simulation experiments.
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