Microwave Tomography
Global Optimization, Parallelization and Performance Evaluation
Seiten
2016
|
Softcover reprint of the original 1st ed. 2014
Springer-Verlag New York Inc.
978-1-4939-4577-1 (ISBN)
Springer-Verlag New York Inc.
978-1-4939-4577-1 (ISBN)
This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers.
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.
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.
Sima Noghanian is an associate professor and chair of the Antenna and Applied Electromagnetics department of the University of North Dakota. Travis Desell is an assistant professor at the University of North Dakota. Abas Sabouni is a research associate at Concordia University. Ali Ashtari is the lead researcher at Invenia Technical Computing.
Introduction to Microwave Imaging.- Sequential Forward Solver.- Global Optimization: Differential Evolution, Genetic Algorithms, Particle Swarm and Hybrid Methods.- Sequential Optimization: Genetic Algorithm.- Inclusion of A Priori Information using Neural Networks.- Parallel Forward Solver.- Parallel Optimization Methods.- Benchmarking Parallel Evolutionary Algorithms.
| Erscheinungsdatum | 24.10.2016 |
|---|---|
| Zusatzinfo | 112 Illustrations, color; 5 Illustrations, black and white; XVII, 198 p. 117 illus., 112 illus. in color. |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren ► Radiologie | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Binary Genetic Algorithm • Domain • Finite Difference Time Domain • Frequency Dependence Finite Difference Time • Global optimization techniques • hybrid genetic algorithm • Inverse scattering problem • microwave Imaging • Microwave Tomography • Particle swarm optimization • Real Genetic Algorithm |
| ISBN-10 | 1-4939-4577-7 / 1493945777 |
| ISBN-13 | 978-1-4939-4577-1 / 9781493945771 |
| Zustand | Neuware |
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