Title :
An MPI-based tool for distributed genetic programming
Author :
Tomassini, Marco ; Vanneschi, Leonardo ; Bucher, Laurent ; Fernández, Francisco
Author_Institution :
Inst. of Comput. Sci., Lausanne Univ., Switzerland
Abstract :
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
Keywords :
distributed programming; genetic algorithms; graphical user interfaces; message passing; software tools; MPI; Message Passing Interface; distributed genetic programming; distributed implementations; parallel implementations; stochastic evolutionary learning methodology; user-friendly graphical interface; Arithmetic; Biology computing; Computer science; Concurrent computing; Evolution (biology); Genetic mutations; Genetic programming; Production facilities; Robustness; Stochastic processes;
Conference_Titel :
Cluster Computing, 2000. Proceedings. IEEE International Conference on
Conference_Location :
Chemnitz
Print_ISBN :
0-7695-0896-0
DOI :
10.1109/CLUSTR.2000.889043
