Toward self-adaptive embedded systems: multi-objective hardware evolution

Authors:
Paul Kaufmann;Marco Platzner
Affiliations:
University of Paderborn;University of Paderborn
Venue:
ARCS'07 Proceedings of the 20th international conference on Architecture of computing systems
Year:
2007

Citing 7
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Abstract

Evolutionary hardware design reveals the potential to provide autonomous systems with self-adaptation properties. We first outline an architectural concept for an intrinsically evolvable embedded system that adapts to slow changes in the environment by simulated evolution, and to rapid changes in available resources by switching to preevolved alternative circuits. In the main part of the paper, we treat evolutionary circuit design as a multi-objective optimization problem and compare two multi-objective optimizers with a reference genetic algorithm. In our experiments, the best results were achieved with TSPEA2, an optimizer that prefers a single objective while trying to maintain diversity.