CAJ | 학술논문

并行算法是当前研究解决算法效率问题的成熟技术之一。为提高GEP算法解决复杂函数优化问题的效率，将并行算法引入多细胞基因表达式编程函数优化问题，解决传统计算形式不能充分发挥多核处理器性能的问题。通过分析多细胞基因表达式编程并行算法的机理和M PI和O pen M P混合并行模型，设计与实现多细胞基因表达式编程函数优化的并行算法（Parallel Multicellular Gene Expression Programming algorithm for Function Optimization） PGMFO。实验结果表明针对复杂的函数优化问题，在不影响精度和收敛性的情况下，PGMFO算法比原有的算法效率高出10％～20％。
병행산법시당전연구해결산법효솔문제적성숙기술지일。위제고GEP산법해결복잡함수우화문제적효솔，장병행산법인입다세포기인표체식편정함수우화문제，해결전통계산형식불능충분발휘다핵처리기성능적문제。통과분석다세포기인표체식편정병행산법적궤리화M PI화O pen M P혼합병행모형，설계여실현다세포기인표체식편정함수우화적병행산법（Parallel Multicellular Gene Expression Programming algorithm for Function Optimization） PGMFO。실험결과표명침대복잡적함수우화문제，재불영향정도화수렴성적정황하，PGMFO산법비원유적산법효솔고출10％～20％。
T he parallel algorithm is currently a mature technology to solve the efficiency of algo-rithm .This article introduces the idea of parallel algorithms into multicellular gene expression pro-gramming algorithm for function optimization to solve the shortage that traditional computing form can not give full play to the performance of the current multi-core processors for improving the effi-ciency of GEP algorithm in solving complex function optimization problems .By analyzing the mecha-nism of multicellular gene expression programming algorithm for function optimization and the mixed parallel model of MPI and Open MP ,In this paper a parallel multicellular gene expression program-ming algorithm for function optimization is designed and achieved .The experimental results show that in the case of not affecting the accuracy and convergence ,and in view of the complex function optimi-zation ,the efficiency of PGM FO algorithm improve by 10% ~ 20% .