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Implementation of Paralleling Genetic Annealing Algorithm on Grid

机译:网格并行遗传退火算法的实现

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Genetic Annealing Algorithm(GAA) combines with simulated annealing algorithm and genetic algorithms, which is one of the most representative algorithms to be applied into the protein structure prediction (PSP), but it requires computing power for the complexity of the algorithm itself. So a parallel GAA was proposed, which was run on the grid system. In this paper, we established a three-node grid system, and implemented parallel GAA algorithm in the system. The experiment results were shown that the performance had been significantly improved.
机译:遗传退火算法(GAA)与模拟退火算法和遗传算法相结合,是蛋白质结构预测(PSP)中最有代表性的算法之一,但由于算法本身的复杂性,它需要强大的计算能力。因此,提出了在网格系统上运行的并行GAA。本文建立了一个三节点网格系统,并在系统中实现了并行GAA算法。实验结果表明,该性能得到了显着提高。

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