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Handbook of Nature-Inspired and Innovative Computing

Integrating Classical Models with Emerging Technologies

  • Book
  • © 2006

Overview

Editors:
  1. Albert Y. Zomaya

    1. The University of Sydney, Australia

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  • First of its kind to address the connection between nature-inspired and traditional computing paradigms
  • Brings together a number of diverse chapters that normally do not appear in the same volume since they deal with different facets of computing
  • Contributors are leaders in their respective disciplines, and each was specifically instructed to cover review material as well as current developments
  • Includes supplementary material: sn.pub/extras

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Models

    1. Changing Challenges for Collaborative Algorithmics

      • Arnold L. Rosenberg
      Pages 1-44

    2. Arm++: A Hybrid Association Rule Mining Algorithm

      • Zahir Tari, Wensheng Wu
      Pages 45-76

    3. Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems

      • E. V. Krishnamurthy, Vikram Krishnamurthy
      Pages 77-109

    4. Evolutionary Paradigms

      • Franciszek Seredynski
      Pages 111-145

    5. Artificial Neural Networks

      • Javid Taheri, Albert Y. Zomaya
      Pages 147-185

    6. Swarm Intelligence

      • James Kennedy
      Pages 187-219

    7. Fuzzy Logic

      • Javid Taheri, Albert Y. Zomaya
      Pages 221-252

    8. Quantum Computing

      • J. Eisert, M. M. Wolf
      Pages 253-286

  3. Enabling Technologies

    1. Computer Architecture

      • Joshua J. Yi, David J. Lilja
      Pages 287-314

    2. A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today’s MEMS Implementations (A Survey Report)

      • Mary M. Eshaghian-Wilner, Lili Hai
      Pages 315-341

    3. Morphware and Configware

      • Reiner Hartenstein
      Pages 343-386

    4. Evolving Hardware

      • Timothy G. W. Gordon, Peter J. Bentley
      Pages 387-432

    5. Implementing Neural Models in Silicon

      • Leslie S. Smith
      Pages 433-475

    6. Molecular and Nanoscale Computing and Technology

      • Mary M. Eshaghian-Wilner, Amar H. Flood, Alex Khitun, J. Fraser Stoddart, Kang Wang
      Pages 477-509

    7. Trends in High-Performance Computing

      • Jack Dongarra
      Pages 511-520

    8. Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers

      • Chee Shin Yeo, Rajkumar Buyya, Hossein Pourreza, Rasit Eskicioglu, Peter Graham, Frank Sommers
      Pages 521-551

    9. Web Service Computing: Overview and Directions

      • Boualem Benatallah, Olivier Perrin, Fethi A. Rabhi, Claude Godart
      Pages 553-574

    10. Predicting Grid Resource Performance Online

      • Rich Wolski, Graziano Obertelli, Matthew Allen, Daniel Nurmi, John Brevik
      Pages 575-611

  4. Application Domains

    1. Pervasive Computing: Enabling Technologies and Challenges

      • Mohan Kumar, Sajal K Das
      Pages 613-631
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Keywords

About this book

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.

Reviews

From the reviews:

“Handbook contains 22 chapters, written in a ‘workshop style’ … . I found this volume to be a fascinating, and ‘gentle,’ introduction to a wide range of nonstandard research areas of computer science. … this book used as the basis for a seminar on approaches to decentralized computation. … I consider it a collection of tutorials … . I think this book would be of use to anyone with some CS sophistication who desires exposure to a wide range of newer or less-publicized research areas.” (Aaron Sterling, The Book Review Column, 2011)

Editors and Affiliations

  • The University of Sydney, Australia

    Albert Y. Zomaya

About the editor

Albert Zomaya was named an ACM Distinguished Engineer in 2006, at the inception of ACM’s program to recognize engineers and scientists for their contributions to both the practical and theoretical aspects of computing and information technology.

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