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Hardware for Soft Computing and Soft Computing for Hardware

  • Nadia Nedjah
  • Luiza de Macedo Mourelle

Part of the Studies in Computational Intelligence book series (SCI, volume 529)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Hardware for Soft Computing

    1. Front Matter
      Pages 1-1
    2. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 3-13
    3. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 15-27
    4. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 29-42
    5. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 43-57
    6. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 59-69
    7. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 71-90
    8. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 91-102
    9. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 103-115
  3. Soft Computing for Hardware

    1. Front Matter
      Pages 117-117
    2. Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 173-198

About this book

Introduction

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 problem 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.

Keywords

Computational Intelligence Hardware Soft Computing

Authors and affiliations

  • Nadia Nedjah
    • 1
  • Luiza de Macedo Mourelle
    • 2
  1. 1.Department of Electronics Engineering and TelecommunicationsUniversity of Rio de JaneiroRio de JaneiroBrazil
  2. 2.Department of Systems Engineering and ComputationState University of Rio de JaneiroRio de JaneiroBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-03110-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-03109-5
  • Online ISBN 978-3-319-03110-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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