5. Optimization for TCAD

This chapter deals with various optimization related tasks in the TCAD field. The optimization framework that is available in the TCAD environment of the Institute for Microelectronics is presented. Then, a local gradient based optimizer is compared to two global optimization strategies, namely genetic algorithms and simulated annealing. Finally, an approach that combines local and global strategies to achieve good performance and high accuracy at the same time is presented.