Handbook of Nature-Inspired and Innovative Computing

Integrating Classical Models with Emerging Technologies

By Albert Y. Zomaya

  • eBook Price: $149.00
Buy eBook Buy Print Book

Handbook of Nature-Inspired and Innovative Computing Cover Image

  • Add to Wishlist
  • ISBN13: 978-0-3874-0532-2
  • 752 Pages
  • User Level: Science
  • Publication Date: March 28, 2006
  • Available eBook Formats: PDF

Related Titles

  • Information Systems and Neuroscience
Full Description
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.
Table of Contents

Table of Contents

  1. Preface.
  2. Models.
  3. Changing Challenges for Collaborative Algorithmics.
  4. ARM++: A Hybrid Association Rule Mining Algorithm.
  5. Multiset Rule
  6. Based Programming Paradigm for Soft
  7. Computing in Complex Systems.
  8. Evolutionary Paradigms.
  9. Artificial Neural Networks.
  10. Swarm Intelligence.
  11. Fuzzy Logic.
  12. Quantum Computing.
  13. Enabling Technologies.
  14. Computer Architecture.
  15. A Glance at VLSI Optical Interconnects: From the Abstract Modelings of the 1980s to Today’s MEMS Implementations.
  16. Morphware and Configware.
  17. Evolving Hardware.
  18. Implementing Neural Models in Silicon.
  19. Molecular and Nanoscale Computing and Technology.
  20. Trends in High Performance Computing.
  21. Cluster Computing: High
  22. Performance, High
  23. Availability, and High
  24. Throughput Processing on a Network of Computers.
  25. Web Service Computing: Overview and Directions.
  26. Predicting Grid Resource Performance On
  27. line.
  28. Application Domains.
  29. Pervasive Computing: Enabling Technologies and Challenges.
  30. Information Display.
  31. Bioinformatics.
  32. Noise in Foreign Exchange Markets.
  33. Index.

Please Login to submit errata.

No errata are currently published


    1. Advances in Artificial Intelligence


      View Book

    2. Building Expert Systems in Prolog


      View Book