Evolutionary Algorithms for VLSI CAD is popular PDF and ePub book, written by Rolf Drechsler in 2013-03-14, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Evolutionary Algorithms for VLSI CAD can be Read Online from any device for your convenience.
Evolutionary Algorithms for VLSI CAD Book PDF Summary
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.
Detail Book of Evolutionary Algorithms for VLSI CAD PDF
- Author : Rolf Drechsler
- Release : 14 March 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781475728668
- Genre : Technology & Engineering
- Total Page : 184 pages
- Language : English
- PDF File Size : 17,9 Mb
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