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Evolutionary Algorithms for VLSI CAD ePub download

by Rolf Drechsler

  • Author: Rolf Drechsler
  • ISBN: 0792381688
  • ISBN13: 978-0792381686
  • ePub: 1692 kb | FB2: 1791 kb
  • Language: English
  • Category: Engineering
  • Publisher: Springer; 1998 edition (May 31, 1998)
  • Pages: 184
  • Rating: 4.1/5
  • Votes: 780
  • Format: txt lit azw mobi
Evolutionary Algorithms for VLSI CAD ePub download

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.

Evolutionary Algorithms in VLSI CAD presents the basic concepts of EAs, and considers the application of EAs in VLSI CAD. 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.

Show all. Table of contents (8 chapters).

In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.

N Drechsler, R Drechsler, B Becker. Evolutionary algorithms for VLSI CAD. R Drechsler. Springer Science & Business Media, 2013. International conference on evolutionary multi-criterion optimization, 154-166, 2001. Fast OFDD-based minimization of fixed polarity Reed-Muller expressions. R Drechsler, M Theobald, B Becker. IEEE Transactions on Computers 45 (11), 1294-1299, 1996. International business and government relations in the 21st century.

Автор: Rolf Drechsler Название: Evolutionary Algorithms for VLSI CAD Издательство: Springer .

Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

oceedings{onaryAF, title {Evolutionary algorithms for VLSI CAD}, author {Rolf . 2. Evolutionary Algorithms. 3. Characteristics of Problem Instances. 4. Performance Evaluation.

oceedings{onaryAF, title {Evolutionary algorithms for VLSI CAD}, author {Rolf Drechsler}, year {1998} }. Rolf Drechsler. Part I: Basic Principles.

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.

Evolutionary algorithms application in computer aided design VLSI is considered. October 1999 · IEEE Transactions on Evolutionary Computation. It is described the application of genetic algorithms to logical circuit test generation. The genetic algorithms for VLSI physical design automation are considered. Do you want to read the rest of this conference paper? Request full-text. First Page of the Article.

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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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