Immune-flower pollination algorithm based on three-valued optical computer

The invention relates to an AIFPA fusion method, in particular to an AIFPA fusion method. The two algorithms are tested and compared in experiments of different scales, and the effect of improving the algorithms is more and more obvious along with the increase of the problem scale. Experiments show that the algorithm provided by the invention not only has relatively high solving precision, but also is relatively stable, and the TOC calculation time is greatly reduced. 本发明公开了一种基于三值光学计算机的免疫-花授粉算法，是在TOC上实现LDC问题的解决和算法的改进。本发明首次在TOC上实现AIA并对其进行改进；提出了带有调整线性选择方法的AIA；提出了G&C变异策略；提出了基于TOC的免疫-花授粉算法(ArtificialImmuneFlowerPollinationAlgorithm，AIFPA)融合方法。在不同规模的实验中对这两种算法进行了测试和比较，随着问题规模的增大，改进算法的的效果也越来越明显。实验表明，本发明提出的算法不仅具有较高的求解精度，而且相对稳定，大大减少了TOC的计算时间。