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- Carefully edited book on Hardware for Soft Computing and Soft Computing for Hardware
- State-of-the-art research
- Written by leading experts in this field
Part of the book series: Studies in Computational Intelligence (SCI, volume 529)
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Table of contents (11 chapters)
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Front Matter
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Hardware for Soft Computing
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Front Matter
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About this book
Single and Multi-Objective Evolutionary Computation (MOEA), Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), Fuzzy Controllers (FCs), Particle Swarm Optimization (PSO) and Ant colony Optimization (ACO) are becoming omnipresent in almost every intelligent system design. Unfortunately, the application of the majority of these techniques is complex and so requires a huge computational effort to yield useful and practical results. Therefore, dedicated hardware for evolutionary, neural and fuzzy computation is a key issue for designers. With the spread of reconfigurable hardware such as FPGAs, digital as well as analog hardware implementations of such computation become cost-effective. The idea behind this book is to offer a variety of hardware designs for soft computing techniques that can be embedded in any final product. Also, to introduce the successful application of soft computing technique to solve many hard problems encountered during the design of embedded hardware designs. Reconfigurable embedded designs for GAs, ANNs, FCs and PSO are presented and evaluated. Also, the application of quantum-based evolutionary computation and multi-objective evolutionary computation as well as ACO are applied to solve hard problems related to circuit synthesis, IP assignment, mapping and routing of applications on Network-On-Chip infrastructures.
Reviews
From the book reviews:
“This little book presents a snapshot of advanced research and implementation of soft computing algorithms. … its value is clearly bringing to a wider technical audience implementation principles that the authors have successfully used in the exciting and promising field of soft computing.” (Vladimir Botchev, Computing Reviews, June, 2014)
Authors and Affiliations
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Department of Electronics Engineering and Telecommunications, University of Rio de Janeiro, Rio de Janeiro, Brazil
Nadia Nedjah
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Department of Systems Engineering and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil
Luiza de Macedo Mourelle
Bibliographic Information
Book Title: Hardware for Soft Computing and Soft Computing for Hardware
Authors: Nadia Nedjah, Luiza de Macedo Mourelle
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-03110-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03109-5Published: 04 December 2013
Softcover ISBN: 978-3-319-37874-9Published: 27 August 2016
eBook ISBN: 978-3-319-03110-1Published: 18 November 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 198
Number of Illustrations: 124 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Computer Graphics