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Evolutionary Algorithms for VLSI CAD

Name: Evolutionary Algorithms for VLSI CAD
Brand: Springer, Berlin
SKU: 9781441950406
Price: 472.64 PLN
Availability: InStock

Autor: Rolf Drechsler

Język:

Oprawa: Miękka

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy w małych ilościach

Wysyłamy za 11-15 dni

472.64 zł

In VLSI CAD, difficult optimization problems have to be solved on a constant basis. Various optimiza...

Informacje o książce

Autor

Rolf Drechsler

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

183

EAN

9781441950406

ISBN

1441950400

Enbook ID

01423413

Wydawca

Springer, Berlin

Waga

308

Wymiary

160 x 240 x 10

Pełny opis

In VLSI CAD, difficult optimization problems have to be solved on a constant basis. Various optimization techniques have been proposed in the past. While some of these methods have been shown to work well in applications and have become somewhat established over the years, other techniques have been ignored. Recently, there has been a growing interest in optimization algorithms based on principles observed in nature, termed Evolutionary Algorithms (EAs). Evolutionary Algorithms in VLSI CAD presents the basic concepts of EAs, and considers the application of EAs in VLSI CAD. It is the first book to show how EAs could be used to improve IC design tools and processes. Several successful applications from different areas of circuit design, like logic synthesis, mapping and testing, are described in detail. Evolutionary Algorithms in VLSI CAD consists of two parts. The first part discusses basic principles of EAs and provides some easy-to-understand examples. Furthermore, a theoretical model for multi-objective optimization is presented. In the second part a software implementation of EAs is supplied together with detailed descriptions of several EA applications. These applications cover a wide range of VLSI CAD, and different methods for using EAs are described. Evolutionary Algorithms in VLSI CAD is intended for CAD developers and researchers as well as those working in evolutionary algorithms and techniques supporting modern design tools and processes.

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