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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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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