Optimising Quantisation Noise in Energy Measurement

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Langdon:2016:PPSN,
  author =       "William B. Langdon and Justyna Petke and 
                 Bobby R. Bruce",
  title =        "Optimising Quantisation Noise in Energy Measurement",
  booktitle =    "14th International Conference on Parallel Problem
                 Solving from Nature",
  year =         "2016",
  editor =       "Julia Handl and Emma Hart and Peter R. Lewis and 
                 Manuel Lopez-Ibanez and Gabriela Ochoa and 
                 Ben Paechter",
  volume =       "9921",
  series =       "LNCS",
  pages =        "249--259",
  address =      "Edinburgh",
  month =        "17-21 " # sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, theory,
                 genetic improvement, software engineering, SBSE,
                 parallel evolutionary computing, search, heuristic
                 methods, artificial intelligence, distributed power
                 monitoring",
  isbn13 =       "978-3-319-45823-6",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2016_PPSN.pdf",
  DOI =          "doi:10.1007/978-3-319-45823-6_23",
  size =         "10 pages",
  abstract =     "We give a model of parallel distributed genetic
                 improvement. With modern low cost power monitors; high
                 speed Ethernet LAN latency and network jitter have
                 little effect. The model calculates a minimum usable
                 mutation effect based on the analogue to digital
                 converter (ADC)'s resolution and shows the optimal test
                 duration is inversely proportional to smallest impact
                 we wish to detect. Using the example of a 1KHz 12 bit
                 0.4095 Amp ADC optimising software energy consumption
                 we find: it will be difficult to detect mutations which
                 an average effect less than 58 microA, and typically
                 experiments should last well under a second.",
  notes =        "Based on \cite{langdon:RN1601}, PPSN2016
                 http://ppsn2016.org",
}

Genetic Programming entries for William B Langdon Justyna Petke Bobby R Bruce

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