@inproceedings{b83d5be3f2f241debd1183e81a787466,
title = "A qualitative study on global and local optimization techniques for TCAD analysis tasks",
abstract = "We compare the two well-known global optimization methods, simulated annealing and genetic optimization, to a local gradient-based optimization technique. We rate the applicability of each method in terms of the minimal achievable target value for a given number of simulation runs in an inverse modeling application. The gradient-based optimizer used in the experiment is based on the Levenberg-Marquardt algorithm. The actual implementation (Immin) was taken from MINPACK [1]. The genetic optimizer (genopt) is based on GALIB [2]. For the simulated annealing [3] optimizer (siman) an implementation by L. Ingber was taken. All optimizers are capable of evaluating several targets in parallel.",
keywords = "Inverse modeling, Microelectronics, Optimization techniques, Semiconductors, Simulation",
author = "T. Binder and C. Heitzinger and S. Selberherr",
year = "2001",
language = "English (US)",
isbn = "0970827504",
series = "2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001",
pages = "466--469",
editor = "M. Laudon and B. Romanowicz",
booktitle = "2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001",
note = "2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001 ; Conference date: 19-03-2001 Through 21-03-2001",
}