JavaSpaces - An Affordable Technology For The Simple Implementation Of Reusable Parallel Evolutionary Algorithms

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@InProceedings{Setzkorn:2004:KELSI,
  author =       "Christian Setzkorn and Ray C. Paton",
  title =        "{JavaSpaces} - An Affordable Technology For The Simple
                 Implementation Of Reusable Parallel Evolutionary
                 Algorithms",
  booktitle =    "Proceedings of the International Symposium on
                 Knowledge Exploration in Life Science Informatics,
                 KELSI 2004",
  year =         "2004",
  editor =       "Jesus A. L{\'o}pez and Emilio Benfenati and 
                 Werner Dubitzky",
  volume =       "3303",
  series =       "Lecture Notes in Artificial Inteligence",
  publisher =    "Springer",
  address =      "Milan, Italy",
  month =        "25-26 " # nov,
  keywords =     "genetic algorithms, genetic programming, JavaSpaces,
                 Parallel evolutionary algorithms, data mining, PEA,
                 Java, parallel computation, Jini",
  ISBN =         "3-540-23927-8",
  pages =        "151--160",
  DOI =          "doi:10.1007/b103729",
  size =         "10 pages",
  abstract =     "Evolutionary algorithms are powerful optimisation
                 methods and have been applied successfully in many
                 scientific areas including life sciences. However, they
                 have high computational demands. In order to alleviate
                 this, parallel evolutionary algorithms have been
                 developed. Unfortunately, the implementation of
                 parallel evolutionary algorithms can be complicated,
                 and often requires specific hardware and software
                 environments. This frequently results in very
                 problem-specific parallel evolutionary algorithms with
                 little scope for reuse. This paper investigates the use
                 of the JavaSpaces technology to overcome these
                 problems. This technology is free of charge, simplifies
                 the implementation of parallel/distributed
                 applications, and is independent of hardware and
                 software environments. Several approaches for the
                 implementation of different parallel evolutionary
                 algorithms using JavaSpaces are proposed and
                 successfully tested.",
}

Genetic Programming entries for Christian Setzkorn Ray C Paton

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