System Design with Genetic Algorithms

Authors:
Christine Bauer;Peter Zipf;Hans Wojtkowiak
Affiliations:
-;-;-
Venue:
FPL '00 Proceedings of the The Roadmap to Reconfigurable Computing, 10th International Workshop on Field-Programmable Logic and Applications
Year:
2000

Citing 1
Cited 1

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Abstract

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.