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An MPI-based tool for distributed genetic programming

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4 Author(s)
Tomassini, M. ; Inst. of Comput. Sci., Lausanne Univ., Switzerland ; Vanneschi, L. ; Bucher, L. ; Fernandez, F.

We present an environment for distributed genetic programming using MPI. Genetic programming is a stochastic evolutionary learning methodology that can greatly benefit from parallel/distributed implementations. We describe the distributed system, as well as a user-friendly graphical interface to the tool. The usefulness of the distributed setting is demonstrated by the results obtained to date on several difficult problems, two of which are described in the text

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Cluster Computing, 2000. Proceedings. IEEE International Conference on

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