Microwave Tomography - Global Optimization, Parallelization and Performance Evaluation

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.