Overview
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Table of contents (8 chapters)
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Front Matter
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Basic Principles
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Front Matter
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Practice
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Evolutionary Algorithms for VLSI CAD
Authors: Rolf Drechsler
DOI: https://doi.org/10.1007/978-1-4757-2866-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8168-6Published: 31 May 1998
Softcover ISBN: 978-1-4419-5040-6Published: 03 December 2010
eBook ISBN: 978-1-4757-2866-8Published: 14 March 2013
Edition Number: 1
Number of Pages: X, 184
Topics: Circuits and Systems, Electrical Engineering, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design