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Handbook of Nature-Inspired and Innovative Computing

Integrating Classical Models with Emerging Technologies

  • Albert Y. Zomaya

Table of contents

  1. Front Matter
    Pages i-xv
  2. Models

    1. Zahir Tari, Wensheng Wu
      Pages 45-76
    2. E. V. Krishnamurthy, Vikram Krishnamurthy
      Pages 77-109
    3. Franciszek Seredynski
      Pages 111-145
    4. Javid Taheri, Albert Y. Zomaya
      Pages 147-185
    5. James Kennedy
      Pages 187-219
    6. Javid Taheri, Albert Y. Zomaya
      Pages 221-252
    7. J. Eisert, M. M. Wolf
      Pages 253-286
  3. Enabling Technologies

    1. Joshua J. Yi, David J. Lilja
      Pages 287-314
    2. Reiner Hartenstein
      Pages 343-386
    3. Timothy G. W. Gordon, Peter J. Bentley
      Pages 387-432
    4. Leslie S. Smith
      Pages 433-475
    5. Mary M. Eshaghian-Wilner, Amar H. Flood, Alex Khitun, J. Fraser Stoddart, Kang Wang
      Pages 477-509
    6. Jack Dongarra
      Pages 511-520
    7. Chee Shin Yeo, Rajkumar Buyya, Hossein Pourreza, Rasit Eskicioglu, Peter Graham, Frank Sommers
      Pages 521-551
    8. Boualem Benatallah, Olivier Perrin, Fethi A. Rabhi, Claude Godart
      Pages 553-574
    9. Rich Wolski, Graziano Obertelli, Matthew Allen, Daniel Nurmi, John Brevik
      Pages 575-611
  4. Application Domains

    1. Mohan Kumar, Sajal K Das
      Pages 613-631
    2. Peter Eades, Seokhee Hong, Keith Nesbitt, Masahiro Takatsuka
      Pages 633-655
    3. Srinivas Aluru
      Pages 657-695
    4. George G. Szpiro
      Pages 697-709
  5. Back Matter
    Pages 711-736

About this book

Introduction

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications.

This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Keywords

Algorithms algorithm artificial neural network bioinformatics complex system evolution fuzzy intelligence logic microelectromechanical system (MEMS) modeling neural network programming simulation swarm intelligence

Editors and affiliations

  • Albert Y. Zomaya
    • 1
  1. 1.The University of SydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-27705-6
  • Copyright Information Springer Science+Business Media, Inc. 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-40532-2
  • Online ISBN 978-0-387-27705-9
  • Buy this book on publisher's site