Evolutionary Techniques for Model Order Reduction of Large Scale Linear Systems

By Sidhartha Panda, J. S. Yadav, N. P. Patidar, Cemal Ardil. 2009

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Multi-objective Weighted Sum Approach Model Reduction by Routh-Pade Approximation using Harmony Search (2013, background): “In these approaches, the reduced-order model’s parameters are achieved by minimizing a fitness function, which is often the integral square error (ISE), integral absolute error, H2 norm, or H∞ norm [31–33].”
A New Technique For Reduced-Order Modelling of Linear Time-Invariant System (2017, background): “In most of the cases, it is observed that numerator polynomial is calculated by optimizing various performance indices by evolutionary techniques [9,10] to match the transient response of the system.”
A Novel Order Reduction Method Using Cuckoo Search Algorithm (2015, background): “In most of the cases, it is observed that numerator polynomial is calculated by optimizing various performance indices by evolutionary techniques [24,26] to match the transient response of the system.”