Parallel Niche Gene Expression Programming Based on General Multi-core Processor
AICI '10 Proceedings of the 2010 International Conference on Artificial Intelligence and Computational Intelligence - Volume 03（2010）
摘要
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.
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关键词
parallel niche gene expression programming,parallel speedup ratio,multi-core processor,conventional gep,mean parallel speedup ratio,parallel programming,function mining,function classification,general multi-core processor,niche,evolution algorithm,parallel niche gene expression,multicore processor,multiprocessing systems,evolution efficiency,niche gep,genetic algorithms,parallel model,current popular multi-core processor,gene expression programming,parallel gep,parallel,gene expression,multi core processor,parallel processing,classification algorithms,programming,multicore processing
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