There are various ways to use genetic algorithms in system design. In this paper we present two approaches: genetic algorithms for partitioning the system into hardware and software and using genetic algorithms for implementing hardware on an FPGA. By using genetic algorithms for the partitioning of the system it is possible to integrate fault tolerance automatically into the system. Developing hardware with genetic algorithms provides the possibility to create various alternatives, usable in the partitioning phase. Also fault ignoring implementations can be developed.
CITATION STYLE
Bauer, C., Zipf, P., & Wojtkowiak, H. (2000). System design with genetic algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1896, pp. 250–259). Springer Verlag. https://doi.org/10.1007/3-540-44614-1_28
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