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Parallel Niche Gene Expression Programming Based on General Multi-core Processor

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6 Author(s)
Jiang Wu ; Sch. of Economic Inf. Eng., Southwestern Univ. of Finance & Econ., Chengdu, China ; Taiyong Li ; Bing Fang ; Yue Jiang
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Gene expression programming (GEP) is a new versatile evolution algorithm. The conventional GEP cannot take advantage of current popular multi-core processors. In order to improve the efficiency of GEP, parallel niche gene expression programming based on general multi-core processor (PNGEP-MP) is proposed. The main contributions include: (1) the mechanism of parallel GEP based on general multi-core processor is analyzed, (2) niche GEP is proposed to improve the evolution efficiency, (3) the parallel model of niche GEP based on general multi-core processor is designed by OpenMP, (4) experiments on function mining and classification show that PNGEP-MP improves the efficiency of function mining and classification. Compared with conventional GEP, the mean parallel speedup ratios of PNGEP-MP are 2.00 and 2.03 times.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:3 )

Date of Conference:

23-24 Oct. 2010

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