Hardware for Soft Computing and Soft Computing for Hardware
Authors: Nedjah, Nadia, Mourelle, Luiza de Macedo
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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.
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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)
- Table of contents (11 chapters)
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A Reconfigurable Hardware for Genetic Algorithms
Pages 3-13
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Genetic Algorithms on Network-on-Chip
Pages 15-27
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A Reconfigurable Hardware for Particle Swarm Optimization
Pages 29-42
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Particle Swarm Optimization on Crossbar Based MPSoC
Pages 43-57
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A Reconfigurable Hardware for Artificial Neural Networks
Pages 59-69
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Table of contents (11 chapters)
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書誌情報
- Bibliographic Information
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- Book Title
- Hardware for Soft Computing and Soft Computing for Hardware
- Authors
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- Nadia Nedjah
- Luiza de Macedo Mourelle
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 529
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- イーブック ISBN
- 978-3-319-03110-1
- DOI
- 10.1007/978-3-319-03110-1
- ハードカバー ISBN
- 978-3-319-03109-5
- ソフトカバー ISBN
- 978-3-319-37874-9
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XII, 198
- Number of Illustrations
- 124 b/w illustrations
- Topics
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