Hardware for Soft Computing and Soft Computing for Hardware

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

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Nadia Nedjah Luiza de Macedo Mourelle

Hardware for Soft Computing and Soft Computing for Hardware

Studies in Computational Intelligence Volume 529

Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]

For further volumes: http://www.springer.com/series/7092

About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, selforganizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

Nadia Nedjah · Luiza de Macedo Mourelle

Hardware for Soft Computing and Soft Computing for Hardware

ABC

Nadia Nedjah Department of Electronics Engineering and Telecommunications Faculty of Engineering State University of Rio de Janeiro Rio de Janeiro Brazil

ISSN 1860-949X ISBN 978-3-319-03109-5 DOI 10.1007/978-3-319-03110-1

Luiza de Macedo Mourelle Department of Systems Engineering and Computation Faculty of Engineering State University of Rio de Janeiro Rio de Janeiro Brazil

ISSN 1860-9503 (electronic) ISBN 978-3-319-03110-1 (eBook)

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