Multi-objective Intrinsic Evolution of Embedded Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Paul Kaufmann and Marco Platzner",
  title =        "Multi-objective Intrinsic Evolution of Embedded
  booktitle =    "Organic Computing --- A Paradigm Shift for Complex
  publisher =    "Springer",
  year =         "2011",
  editor =       "Christian Mueller-Schloer and Hartmut Schmeck and 
                 Theo Ungerer",
  volume =       "1",
  series =       "Autonomic Systems",
  chapter =      "2.5",
  pages =        "193--206",
  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",
  isbn13 =       "978-3-0348-0129-4",
  DOI =          "doi:10.1007/978-3-0348-0130-0_12",
  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