Abstract
In many practical situations a fairly complex and high order model is obtained in modeling different components/subsystems of a system. The analysis of such high order system is not only tedious but also cost ineffective for online implementation. Therefore, deriving reduced order models of high-order linear time invariant systems attracted researchers to develop new methods for this purpose. Artificial Bee Colony (ABC) optimization algorithm is an effective and recent addition to swarm based optimization algorithm for optimization in continuous search space. In this paper, Artificial Bee Colony optimization algorithm is applied to solve Model Order Reduction of Single Input Single Output (SISO) Systems. The results obtained by ABC are compared with two most popular deterministic approaches namely Pade and Routh approximation method. The results reported are encouraging and shows that this technique is comparable in quality with existing conventional methods.
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