PMDGP: A distributed Object-Oriented Genetic Programming Environment.

Pieter G.M. Meulen, Han Schipper, A.M. Bazen, Sabih H. Gerez

    Research output: Contribution to conferencePaperpeer-review


    In this paper, an environment for using genetic programming is presented. Although not restricted to a specific domain, our intention is to apply it to image processing problems such as fingerprint recognition. The environment performs tasks like: population management, genetic operators and distributed parallel evaluation of the programs. Furthermore, it provides a framework for implementation of the problemspecific part. Using object-oriented methods, the environment is designed to offer a high degree of flexibility and ease of use. The GP environment uses distributed fitness evaluation, which can be used on existing computer networks. The system is optimized for efficiency of distribution. Experiments are included in the paper to illustrate the high performance of our implementation of this distribution method.
    Original languageUndefined
    Number of pages8
    Publication statusPublished - 30 May 2001
    Event7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001 - Heijen, Netherlands
    Duration: 30 May 20011 Jun 2001
    Conference number: 7


    Conference7th Annual Conference of the Advanced School for Computing and Imaging, ASCI 2001
    Abbreviated titleASCI


    • genetic programming environment
    • Fingerprints
    • IR-62439
    • Genetic programming
    • Distributed processing
    • EWI-13295
    • minutiaeextraction
    • image exploring agents
    • SCS-Safety

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