Multi-objective Intrinsic Evolution of Embedded Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{Kaufmann:2011:OCpscs,
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author = "Paul Kaufmann and Marco Platzner",
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title = "Multi-objective Intrinsic Evolution of Embedded
Systems",
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booktitle = "Organic Computing --- A Paradigm Shift for Complex
Systems",
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publisher = "Springer",
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year = "2011",
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editor = "Christian Mueller-Schloer and Hartmut Schmeck and
Theo Ungerer",
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volume = "1",
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series = "Autonomic Systems",
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chapter = "2.5",
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pages = "193--206",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, CGP, Evolvable hardware,
Evolutionary algorithms, Automatic definition of
reusable functions (ADF), Multi-objective optimisation
(MOEA), Evolvable caches, Autonomous systems",
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isbn13 = "978-3-0348-0129-4",
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DOI = "doi:10.1007/978-3-0348-0130-0_12",
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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.",
- }
Genetic Programming entries for
Paul Kaufmann
Marco Platzner
Citations