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.

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.