Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation

✍ Scribed by Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari (auth.)

• Publisher: Springer-Verlag New York
• Year: 2014
• Tongue: English
• Leaves: 216
• Edition: 1
• Category: Library

✦ Synopsis

This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging.

✦ Table of Contents

Front Matter....Pages i-xvii
Introduction to Microwave Imaging....Pages 1-20
Sequential Forward Solver....Pages 21-37
Global Optimization: Differential Evolution, Genetic Algorithms, Particle Swarm, and Hybrid Methods....Pages 39-61
Sequential Optimization: Genetic Algorithm....Pages 63-86
Inclusion of A Priori Information Using Neural Networks....Pages 87-141
Parallel Forward Solver....Pages 143-152
Parallel Optimization Methods....Pages 153-177
Benchmarking Parallel Evolutionary Algorithms....Pages 179-194
Errata....Pages E1-E3
Back Matter....Pages 195-198

✦ Subjects

Microwaves, RF and Optical Engineering; Computer Imaging, Vision, Pattern Recognition and Graphics; Signal, Image and Speech Processing; Imaging / Radiology