EASEA Parallelization of Tree-Based Genetic Programming

被引：0
|
作者：
Maitre, Ogier [1 ]
Querry, Stephane [1 ]
Lachiche, Nicolas [1 ]
Collet, Pierre [1 ]
机构：
[1] Univ Strasbourg, LSIIT, Image Sci Comp Sci & Remote Sensing Lab, F-67400 Illkirch Graffenstaden, France
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
GP;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces the implementation of Koza-style tree-based Genetic Programming on General Purpose Graphic Processing Units (GPGPU) using the EASEA language, and shows how a GP algorithm can be easily implemented using EASEA and CUDA. Performance is first discussed on a classical toy problem taken from one of Koza's books and then on a real world problem inspired from aeronautics, that extends the results to difficult problems with large data sets.
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页数：8
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