Genetic programming: A parallel approach

被引：0
|
作者：
Golubski, W [1 ]
机构：
[1] Univ Siegen, Dept Elect Engn & Comp Sci, D-57068 Siegen, Germany
来源：
SOFT-WARE 2002: COMPUTING IN AN IMPERFECT WORLD | 2002年 / 2311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：
In this paper we introduce a parallel master-worker model for genetic programming where the master and each worker have their own equal-sized populations. The workers execute in parallel starting with the same population and are synchronized after a given interval where all worker populations are replaced by a new one. The proposed model will be applied to symbolic regression problems. Test results on two test series are presented.
引用
收藏
页码：166 / 173
页数：8
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