In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-...In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains （cell） and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells （exploration） and subsequently shift the first individual from its initial place to the other individual＇s cell place. If they are already in the same cell heuristic crossover （exploitation） is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm.展开更多
文摘In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm （EA） is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains （cell） and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells （exploration） and subsequently shift the first individual from its initial place to the other individual＇s cell place. If they are already in the same cell heuristic crossover （exploitation） is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm.
文摘目的探究麻黄细辛附子汤对Th2偏移、Treg细胞功能及Notch信号通路的干预作用。方法体外培养CD4+T细胞,流式细胞仪鉴定纯度,使用白细胞介素-4(IL-4)、干扰素-γ抗体(Anti-IFN-γ)诱导建立Th2细胞分化模型,DAPT及麻黄细辛附子汤干预24 h后收集上清及细胞,ELISA检测白细胞介素-5(IL-5)、干扰素-γ(IFN-γ)、转化生长因子β1(TGF-β1)含量,RT-PCR检测T细胞特异性转录因子(T-bet)、转录因子结合蛋白-3(GATA-3)、叉头翼状螺旋转录因子3(FOXP3)、Notch1 mRNA表达,Western blotting检测T-bet、GATA-3、FOXP3、Notch1蛋白表达。结果1)较之空白组,模型组IL-5含量升高,IFN-γ、TGF-β1含量降低(P<0.01);较之模型组,各给药组IL-5含量降低,IFN-γ、TGF-β1含量升高(P<0.01)。2)较之空白组,模型组Tbet、FOXP3 mRNA表达降低,GATA-3、Notch1 m RNA表达升高(P<0.01);较之模型组,各给药组T-bet、FOXP3 mRNA表达升高,GATA-3、Notch1 m RNA表达降低(P<0.01)。3)较之空白组,模型组T-bet、FOXP3蛋白表达降低,GATA-3、Notch1蛋白表达升高(P<0.01);较之模型组,各给药组T-bet、FOXP3蛋白表达升高,GATA-3、Notch1蛋白表达降低(P<0.01)。结论1)麻黄细辛附子汤能够下调IL-5分泌和GATA-3表达,促进IFN-γ分泌和T-bet表达,纠正Th2偏移。2)麻黄细辛附子汤有助于Treg细胞分化增殖,能够促进TGF-β1分泌和FOXP3表达。3)麻黄细辛附子汤能够通过抑制Notch1表达,促进Treg细胞功能发挥,纠正Th2偏移。
