Handbook of Nature-Inspired and Innovative Computing - Integrating Classical Models with Emerging Technologies (Paperback, Softcover reprint of hardcover 1st ed. 2006)


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.


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Product 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.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2006

Editors

Dimensions

235 x 155 x 38mm (L x W x T)

Format

Paperback

Pages

736

Edition

Softcover reprint of hardcover 1st ed. 2006

ISBN-13

978-1-4419-4268-5

Barcode

9781441942685

Categories

LSN

1-4419-4268-8



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