Nov. 28, 2000 to Dec. 1, 2000
Marco Tomassini , University of Lausanne, Switzerland
Leonardo Vanneschi , University of Lausanne, Switzerland
Laurent Bucher , University of Lausanne, Switzerland
Francisco Fern?ndez , Universidad de Extremadura, C?ceres, Spain
This paper presents 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.
Marco Tomassini, Leonardo Vanneschi, Laurent Bucher, Francisco Fern?ndez, "An MPI-Based Tool for Distributed Genetic Programming", CLUSTER, 2000, 2013 IEEE International Conference on Cluster Computing (CLUSTER), 2013 IEEE International Conference on Cluster Computing (CLUSTER) 2000, pp. 209, doi:10.1109/CLUSTR.2000.889043