Hardware for Soft Computing and Soft Computing for Hardware (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 529
Release date:	August 2016
First published:	2014
Authors:	Nadia Nedjah • Luiza de Macedo Mourelle
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	198
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-37874-9
Categories:	Books > Computing & IT > General
LSN:	3-319-37874-0
Barcode:	9783319378749

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