Abstract
The evolvable hardware paradigm facilitates the construction of autonomous systems that can adapt to environmental changes, degrading effects in the computational resources, and varying system requirements. In this article, we first introduce evolvable hardware, then specify the models and algorithms used for designing and optimising hardware functions, present our simulation toolbox, and finally show two application studies from the adaptive pattern matching and processor design domains.
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Kaufmann, P., Platzner, M. (2011). Multi-objective Intrinsic Evolution of Embedded Systems. In: Müller-Schloer, C., Schmeck, H., Ungerer, T. (eds) Organic Computing — A Paradigm Shift for Complex Systems. Autonomic Systems, vol 1. Springer, Basel. https://doi.org/10.1007/978-3-0348-0130-0_12
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DOI: https://doi.org/10.1007/978-3-0348-0130-0_12
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