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Titlebook: Evolutionary Algorithms for VLSI CAD; Rolf Drechsler Book 1998 Springer Science+Business Media New York 1998 Software.VLSI.algorithms.circ

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發(fā)表于 2025-3-21 16:26:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Algorithms for VLSI CAD
編輯Rolf Drechsler
視頻videohttp://file.papertrans.cn/318/317815/317815.mp4
圖書封面Titlebook: Evolutionary Algorithms for VLSI CAD;  Rolf Drechsler Book 1998 Springer Science+Business Media New York 1998 Software.VLSI.algorithms.circ
描述In VLSI CAD, difficult optimization problems have to be solvedon a constant basis. Various optimization techniques have beenproposed in the past. While some of these methods have been shown towork well in applications and have become somewhat established overthe years, other techniques have been ignored. .Recently, there has been a growing interest in optimization algorithmsbased on principles observed in nature, termed Evolutionary Algorithms(EAs). ..Evolutionary Algorithms in VLSI CAD. presents the basic conceptsof EAs, and considers the application of EAs in VLSI CAD. It is thefirst book to show how EAs could be used to improve IC design toolsand processes. Several successful applications from different areas ofcircuit design, like logic synthesis, mapping and testing, aredescribed in detail. ..Evolutionary Algorithms in VLSI CAD. consists of two parts. Thefirst part discusses basic principles of EAs and provides someeasy-to-understand examples. Furthermore, a theoretical model formulti-objective optimization is presented. In the second part asoftware implementation of EAs is supplied together with detaileddescriptions of several EA applications. These applications cover awide r
出版日期Book 1998
關(guān)鍵詞Software; VLSI; algorithms; circuit design; computer-aided design (CAD); evolutionary algorithm; integrate
版次1
doihttps://doi.org/10.1007/978-1-4757-2866-8
isbn_softcover978-1-4419-5040-6
isbn_ebook978-1-4757-2866-8
copyrightSpringer Science+Business Media New York 1998
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Massenerziehung in der Corona-Krise,t 5,000 transistors while in 1995 Intel’s state-of-the-art processor . contains more than 5 million transistors. To handle the complexity of todays circuits the design engineers are totally dependent on . (CAD), i.e. software tools. The capabilities and limitations of CAD tools have crucial impact o
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Jürgen Budde,Johanna Ge?ner,Nora Weuster of IC application are considered, i.e. applications from logic synthesis, mapping, testing and EA based solutions are given. Several selected papers are reviewed, then extensions of these approaches are outlined. For each area, the detailed problem definition is given and the main characteristics o
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https://doi.org/10.1007/978-3-531-92887-6es (especially for large problem instances) are overly long. For this in this chapter a model for heuristic learning is presented [37]. The idea of this approach is to create heuristics by an EA that obtain good results and in addition have good runtime behavior.
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Evolutionary Algorithmsan implementation on a computer system are discussed. The main components of an EA are presented, i.e. fitness function, selection principle and evolutionary operators. Finally, some special cases of the concept defined here are outlined, like evolution strategies and genetic programming.
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