基于OpenMP的并行克隆选择算法

Hongbing Zhu, Sicheng Chen, Jianguo Wu
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引用次数: 5

摘要

克隆选择算法(CSA)是最具代表性的免疫算法(IA)之一,已应用于AB离晶格模型的蛋白质结构预测(PSP),但其计算时间较长。为此,本文提出了一种并行克隆选择算法(CSA),并在四核计算机上采用Open MP分布式计算模型实现该算法。在该算法中,多个子种群取代原有的单个种群,每个子种群独立进化,并将当前最优个体分配到所有子种群中。并行算法克服了早熟收敛,有效地找到了全局最优解。实验结果表明,该系统的性能得到了显著提高。
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Paralleling Clonal Selection Algorithm with OpenMP
Clonal selection algorithm (CSA) is one of the most representative Immune algorithms (IA) and was applied into the protein structure prediction (PSP) on AB off-lattice model, but it required a long time in the calculation. So in this paper, a parallel clonal selection algorithm (CSA) was proposed, which was implemented using distributed computing model that employed Open MP on four core computer. In the algorithm, several sub-populations replaced the original single population, and each sub-population evolved independently, and the current best individual was distributed into all the sub-populations. The parallel algorithm overcame premature convergence and found global optima efficiently. And the experiment results shown that the performance had beensignificantly improved.
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