A distributed computing environment for genetic programming using MPI

被引：0
|
作者：
Fernández, F [1 ]
Tomassini, M
Vanneschi, L
Bucher, L
机构：
[1] Univ Extremadura, Dpto Arquitectura & Tecnol Computadores, Caceres, Spain
[2] Univ Lausanne, Inst Comp Sci, CH-1015 Lausanne, Switzerland
来源：
RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE, PROCEEDINGS | 2000年 / 1908卷
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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, one of which is described in the text.
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页码：322 / 329
页数：8
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