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Titlebook: Evolutionary Algorithms for Embedded System Design; Rolf Drechsler,Nicole Drechsler Book 2003 Springer Science+Business Media New York 200

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发表于 2025-3-21 17:28:31 | 显示全部楼层 |阅读模式
书目名称Evolutionary Algorithms for Embedded System Design
编辑Rolf Drechsler,Nicole Drechsler
视频video
丛书名称Genetic Algorithms and Evolutionary Computation
图书封面Titlebook: Evolutionary Algorithms for Embedded System Design;  Rolf Drechsler,Nicole Drechsler Book 2003 Springer Science+Business Media New York 200
描述.Evolutionary Algorithms for Embedded System Design. describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical. EAs create an interesting alternative to other approaches since they can be scaled with the problem size and can be easily run on parallel computer systems. This book presents several successful EA techniques and shows how they can be applied at different levels of the design process. Starting on a high-level abstraction, where software components are dominant, several optimization steps are demonstrated, including DSP code optimization and test generation. Throughout the book, EAs are tested on real-world applications and on large problem instances. For each application the main criteria for the successful application in the corresponding domain are discussed. In addition, contributions from leading international researchers provide the reader with a variety of perspectives, including a special focus on the combination of EAs with problem specific heuristics...Evolutionary Algorithms for Embedded System Design. is an excellent reference for both practitioners working in the area of c
出版日期Book 2003
关键词Embedded Systems; System; algorithms; digital signal processor; evolutionary algorithm; genetic algorithm
版次1
doihttps://doi.org/10.1007/978-1-4615-1035-2
isbn_softcover978-1-4613-5362-1
isbn_ebook978-1-4615-1035-2Series ISSN 1568-2587
issn_series 1568-2587
copyrightSpringer Science+Business Media New York 2003
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978-1-4613-5362-1Springer Science+Business Media New York 2003
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Erwerbsverlauf und sozialer Schutz in Europality of the test. Until now it has not been possible to automate test case design for common function-oriented and structure-oriented test procedures. This causes test case design to be fault-prone and cost-intensive. The evolutionary test is a new, promising approach for the automation of test case
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Erwin Schrödinger‘s Color TheoryP-complete problems, Evolutionary Algorithms have been proven to provide good solutions for search spaces of moderate size. For realistic embedded system applications, however, two more challenges must be considered: a) the complexity of the search space, and b) the multi-objective nature of the opt
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Johann Götschl,Günther A. Höfler higher the level of abstraction at which test pattern generators (TPGs) are applied, in order to overcome the increasing complexity of the gate-level test pattern gen­eration task. Functional TPGs extend gate-level TPG techniques to the RT and behavioral levels by defining error models applicable t
发表于 2025-3-23 02:23:44 | 显示全部楼层
https://doi.org/10.1007/978-3-663-19445-3r Self-Test Path, and increases stuck-at fault coverage while maintaining all advantages, such as low timing intrusiveness, easy integration into design flow, at-speed testing. Cellular automaton rules are devised using the Selfish Gene algorithm, a new evolutionary algorithm based on an unorthodox
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Evolutionary Testing of Embedded Systems,lity of the test. Until now it has not been possible to automate test case design for common function-oriented and structure-oriented test procedures. This causes test case design to be fault-prone and cost-intensive. The evolutionary test is a new, promising approach for the automation of test case
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