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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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Functional Test Generation,generate functional test patterns for HDL design descriptions. Genetic algorithms are mixed with a deterministic methodology based on binary decison diagrams and the respective advantages and drawbacks are compared. This analysis allows to define a hybrid genetic approach for functional testing.
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Erwerbsverlauf und sozialer Schutz in Europa is decisive. This chapter presents the fitness functions for testing the temporal behavior of systems, for the execution of safety tests, and for structure tests. Experiments performed demonstrate the effectiveness of the evolutionary test.
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Evolutionary Testing of Embedded Systems, is decisive. This chapter presents the fitness functions for testing the temporal behavior of systems, for the execution of safety tests, and for structure tests. Experiments performed demonstrate the effectiveness of the evolutionary test.
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Genetic Algorithm Based DSP Code Optimization, of related work, we present the details of the proposed GA. Furthermore, we provide comprehensive experimental results indicating that the GA is superior to heuristic techniques in many cases, while still achieving acceptable runtimes.
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Built-In Self Test of Sequential Circuits,view of the Darwinian theory, where the basic units of selection are genes rather than individuals. Experimental results show the effectiveness of the approach and the efficacy of the Selfish Gene algorithm.
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