Model-Based Engineering for Complex Electronic Systems

Chapter 10

Model-Based Optimization Techniques

10.1 Introduction

Optimization methods applied to fit simulation models to measured data have been investigated by researchers such as Schmidt and Güldner [1] and Lederer et al. [2] using the well-known simulated annealing approach. Genetic algorithms provide an alternative approach to optimization that may have some advantages, especially when considering the more complex problem of fitting several loops simultaneously. The use of genetic, or evolutionary, algorithms to solve difficult engineering problems is a relatively recent innovation. Holland [3] and Goldberg [4] are two of the pioneers of this technique, and the last 10 years have seen a plethora of applications for genetic algorithms from ...