Tracer spectrum: a visualisation method for distributed evolutionary computation

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  author =       "Michael O'Neill and Anthony Brabazon and 
                 Erik Hemberg",
  title =        "Tracer spectrum: a visualisation method for
                 distributed evolutionary computation",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2011",
  volume =       "12",
  number =       "2",
  pages =        "161--171",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming,
                 Visualisation, Distributed evolutionary computation",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-010-9125-y",
  size =         "11 pages",
  abstract =     "We present a novel visualisation method for
                 island-based evolutionary algorithms based on the
                 concept of tracers as adopted in medicine and molecular
                 biology to follow a biochemical process. For example, a
                 radioisotope or dye can be used to replace a stable
                 component of a biological compound, and the signal from
                 the radioisotope can be monitored as it passes through
                 the body to measure the compound's distribution and
                 elimination from the system. In a similar fashion we
                 attach a tracer dye to individuals in each island,
                 where each individual in any one island is marked with
                 the same colour, and each island then has its own
                 unique colour signal. We can then monitor how
                 individuals undergoing migration events are distributed
                 throughout the entire island ecosystem, thereby
                 allowing the user to visually monitor takeover times
                 and the resulting loss of diversity. This is achieved
                 by visualising each island as a spectrum of the tracer
                 dye associated with each individual. Experiments
                 adopting different rates of migration and network
                 connectivity confirm earlier research which predicts
                 that island models are extremely sensitive to the size
                 and frequency of migrations.",
  notes =        "ECJ, Onemax",

Genetic Programming entries for Michael O'Neill Anthony Brabazon Erik Hemberg