Modeling and Optimization of Microwave Devices and Circuits Using Genetic Algorithms

Abstract

This paper presents a new approach for the simulation and optimization of microwave devices using a genetic algorithm (GA). The proposed technique solves the equations that describe the semiconductor transport physics in conjunction with Poisson's equation, employing an adaptive real-coded GA. An objective function is formulated, and most of the GA parameters are recommended to change during the simulation. In addition, different methods for describing the way the GA parameters change are developed and studied. The effect of GA parameters including the mutation value, number of crossover points, selection criteria, size of population, and probability of mutation is analyzed. The technique is validated by simulating a submicrometer field-effect transistor, and then compared to successive over relaxation, showing the same degree of accuracy along with a moderate speed of convergence. The purpose of this paper is to introduce a new vision for a GA capable of optimizing real value functions with a considerably large number of variables. This paper also represents a fundamental step toward applying GAs to Maxwell's equations in conjunction with the hydrodynamic model, aiming to develop an optimized and unconditionally stable global-modeling simulator.

Modelling and optimization of fluid dispensing for electronic packaging using neural fuzzy networks and genetic algorithms

“…However, one of its limitations is that it usually requires a large number of experimental data sets, specially, in the nonlinear region. GAs have been applied in process optimization of various manufacturing processes successfully (Hussein & El-Ghazaly 2004, Tan & Yuen 2000, Wilson et al 2001.…”

Efficient Time-Domain Noise Modeling Approach for Millimeter-Wave Fets

“…Thus, a full-wave time-domain analysis involving distributed elements should be considered. However, this type of analysis is highly time consuming [4][5][6][7], even if different simulation time reduction techniques have been already proposed [8]. As a result, semi-distributed models such as the slice model, easily implemented in CAD routines, become a suitable alternative to overcome this limitation [9,10].…”

“…Since a time domain analytical solution does not exist, a numerical approach should be used. Among all the existing methods, the Finite-Difference Time-Domain method (FDTD) was retained as one of the most widely used in this area [7][8][9][10][11].…”

Time Domain Analysis of Active Transmission Line Using FDTD Technique (Application to Microwave/Mm- Wave Transistors)

“…But, this type of analysis is time consuming and needs a huge CPU time. Although, some efficient numerical methods have been recently proposed for simulation time reduction [5][6][7][8][9], but it sounds that this analysis approach needs more attention for implementing in simulation software. On the other hand, device behavior in high frequencies can be well described using semi-distributed model which can be easily implemented in CAD routines of simulators [9][10][11][12].…”