Huanghe Science & Technology University, Zhengzhou, Henan 450063, China.
Contrast Media Mol Imaging. 2022 May 5;2022:5787981. doi: 10.1155/2022/5787981. eCollection 2022.
Functional analysis of immune subtypes in hepatocellular carcinoma has attracted much attention due to its advantages in solving some optimization problems. At present, the research on the immune subtype of hepatocellular carcinoma is still in its infancy, and the high stability of its system still has problems. Based on fuzzy logic and evolutionary algorithms, this paper constructs a Mate analysis of the optimization problem of immune subtypes and dynamic optimization problems of hepatocellular carcinoma. The model conducts in-depth analysis and research on the biological immune subtype system, solving the problems of reliable information processing and body defense. Tested with existing test functions, very competitive results were achieved. The simulation results show that the improved algorithm based on data statistics has global search ability, the solution accuracy reaches 0.931, and the stability reaches 88.1%.
由于在解决某些优化问题方面的优势，肝癌免疫亚型的功能分析引起了广泛关注。目前，肝癌免疫亚型的研究仍处于起步阶段，其系统的高稳定性仍存在问题。本文基于模糊逻辑和进化算法，构建了一个 Mate 分析优化问题的免疫亚型和肝癌动态优化问题的模型。该模型对生物免疫亚型系统进行了深入的分析和研究，解决了可靠信息处理和身体防御的问题。通过对现有测试函数进行测试，得到了非常有竞争力的结果。仿真结果表明，基于数据统计的改进算法具有全局搜索能力，解的精度达到 0.931，稳定性达到 88.1%。
