Evolutionary Algorithms for VLSI CAD / Edition 1

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Overview

Evolutionary Algorithms for VLSI CAD presents the basic ideas of EAs and the application of EAs in VLSI CAD is considered. It is the first book to show how EAs could be used to improve lC 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 for VLSI CAD is intended for CAD developers and researchers as well as people who are working in evolutionary algorithms and techniques supporting modern design tools and processes.
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Editorial Reviews

Booknews
Synthesizes several years of research into circuit design and evolutionary algorithms at the Goethe University in Frankfurt, Germany. Discusses basic principles of evolutionary algorithms, characteristics of problem instances, and performance evaluation, illustrating them with simple examples. Then describes applications in a wide range of methods for designing large integrated circuits with computer-aided design tools, considering aspects of implementation and heuristic learning. Some of the material has been used in tutorials at Stanford and in Singapore during 1997. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780792381686
  • Publisher: Springer US
  • Publication date: 5/31/1998
  • Edition description: 1998
  • Edition number: 1
  • Pages: 183
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.50 (d)

Table of Contents

Preface
Pt. I Basic Principles 1
1 Introduction 3
2 Evolutionary Algorithms 11
3 Characteristics of Problem Instances 19
4 Performance Evaluation 23
Pt. II Practice 43
5 Implementation 45
6 Applications of EAs 57
7 Heuristic Learning 147
8 Conclusions 165
References 167
Index 181
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