Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The diversity in the operator …

Parameter extraction is a complex procedure when contact effects are present. In this work,
a multi-objective evolutionary parameter extraction procedure is used to simultaneously …

Time series analysis has drawn the attention of many researchers as the findings from
analysis are of huge importance and value. Although there exists many models for Time …

Based on the combination of the genetic and Levenberg-Marquardt algorithms, a new
method is developed to perform both local and global parameter extraction for the PSP …

The particle swarm optimization (PSO) algorithm is applied to the problem of MOSFET
parameter extraction for the first time. It is shown to perform significantly better than the …

This paper provides an effective method for parameter extraction of microelectronic devices
and elements. A novel method, memetic differential evolution (MDE) algorithm, is proposed …

A state-of-the-art approach on SPICE model card extraction for the PSP MOSFET model is
presented in this work. An Artificial Neural Network (ANN) is used to extract model card …

In this paper, a novel method based on hybrid genetic algorithm (GA) was developed to
extract parameters of analytical or part-analytical models. It needn't complex computation …

This paper proposes a machine learning accelerated automatic parameter extraction
method for non-linear models. The generalization ability of artificial neural network (ANN) for …