Microwave Tomography

Global Optimization, Parallelization and Performance Evaluation

  • Sima Noghanian
  • Abas Sabouni
  • Travis Desell
  • Ali Ashtari

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 1-20
  3. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 21-37
  4. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 39-61
  5. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 63-86
  6. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 87-141
  7. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 143-152
  8. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 153-177
  9. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages 179-194
  10. Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
    Pages E1-E3
  11. Back Matter
    Pages 195-198

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Sima Noghanian
    • 1
  • Abas Sabouni
    • 2
  • Travis Desell
    • 3
  • Ali Ashtari
    • 4
  1. 1.Department of Electrical EngineeringUniversity of North DakotaGrand ForksUSA
  2. 2.Department of Electrical EngineeringWilkes UniversityWilkes-BarreUSA
  3. 3.Department of Computer ScienceUniversity of North DakotaGrand ForksUSA
  4. 4.Invenia Technical ComputingWinnipegCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0752-6
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4939-0751-9
  • Online ISBN 978-1-4939-0752-6
  • About this book
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