DocumentCode
1738943
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
fYear
2000
fDate
2000
Firstpage
209
Lastpage
216
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing, 2000. Proceedings. IEEE International Conference on
Conference_Location
Chemnitz
Print_ISBN
0-7695-0896-0
Type
conf
DOI
10.1109/CLUSTR.2000.889043
Filename
889043
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