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Publication Detail
Optimising Quantisation Noise in Energy Measurement
  • Publication Type:
  • Authors:
    Langdon WB, Petke J, Bruce BR
  • Publisher:
  • Publication date:
  • Pagination:
    249, 259
  • Published proceedings:
    PPSN 2016: Parallel Problem Solving from Nature – PPSN XIV
  • ISBN-13:
  • Status:
  • Name of conference:
    International Conference on Parallel Problem Solving from Nature
  • Addresses:
    Gower Street, London
  • Notes:
    keywords: theory, genetic improvement, software engineering, SBSE, artificial intelligence, distributed power monitoring, local area network, Ethernet, jitter size: 13 pages
A simple model of distributed Genetic Improvement running in parallel across a local area network in which start/stop commands are sent to measuring devices calculates a minimum usable software mutation effect based on the analogue to digital convert (ADC)’s resolution. With modern low cost power monitors, the high speed Ethernet LAN’s jitter and delays appear to have little effect. Where the software to be improved permits it, optimal test duration is inversely proportionate to minimum mutation effect size, typically well under a second.
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