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
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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.
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页码:166 / 173
页数:8
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