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An Improved DNA Genetic Algorithm Based on Cell-Like P System with Dynamic Membrane Structure

机译:一种基于具有动态膜结构的细胞样P系统的改进DNA遗传算法

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Inspired by the P system with dynamic membrane structure and the mechanism of DNA genetic information, an optimization algorithm based on improved DNA Genetic Algorithm (DNA-GA) and the cell-like P system with dynamic membrane structure called DNA-DMS, is proposed. By merging membrane computing and DNA genetic operation, DNA-DMS not only avoids the disadvantage of easily getting to local optional solutions, but also converges rapidly. At the same time, compared with the traditional DNA algorithm, our algorithm improves the ability of parallelism. We propose a novel DNA genetic operation, splicing operation that can enhance the variety of the population and promote fast convergence. The performance of DNA-DMS is tested through computational experiments and compared with those of standard DNA genetic algorithm, DE and PSO algorithm using 6 typical benchmark functions. The experimental results demonstrate that the DNA-DMS can overcome premature convergence and yield the global optimum with high efficiency.
机译:通过具有动态膜结构的P系统的启发和DNA遗传信息的机制,提出了一种基于改进的DNA遗传算法(DNA-GA)和具有称为DNA-DMS的动态膜结构的细胞样P系统的优化算法。通过合并膜计算和DNA遗传操作,DNA-DMS不仅避免了容易进入局部可选解决方案的缺点,而且还迅速收敛。与此同时,与传统的DNA算法相比,我们的算法改善了并行性的能力。我们提出了一种新型DNA遗传操作,剪接操作,可提高人口的各种并促进快速收敛。通过计算实验测试DNA-DMS的性能,与使用6个典型的基准函数的标准DNA遗传算法,DE和PSO算法进行比较。实验结果表明,DNA-DMS可以克服过早的收敛性,并以高效率产生全球最佳。

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