Synthesis and Photoluminescence of Three Europium (Ⅲ) Ternary Complexes with New Secondary Ligands of Different Structure

Three new 1,10-phenanthroline derivatives, dipyrido (3,2-f: 2,3-h) quinoxaline (DPQN), imidazo (5,6-f)-(1,10)-phenanthroline (IP) and 3-phenyl-imidazo (5,6-f)-(1,10)-phenanthroline (PIP) were designed and synthesized as a secondary ligand to coordinate with europium (Ⅲ) ion while dibenzoylmethane (DBM) was used as the first ligand. The compositions of the ligands and the europium (Ⅲ) ternary complexes were confirmed by elementary analysis, IR and 1H-NMR spectroscopy. The UV-visible absorption spectra, thermal stability, photoluminescence spectra, quantum yield and fluorescence life time of the Eu(Ⅲ) complexes were investigated. The effect of the structure of the secondary ligand on the photoluminescence of the complexes was discussed. The results show that the synthesized Eu(Ⅲ) complexes are good red-emitiing materials for potential application in fabrication of organic electroluminescence devices.     

新型群体智能优化算法综述

智能优化算法主要分为4类:仿自然优化算法、进化算法、仿植物生长算法和群体智能优化算法,其中群体智能优化算法是最为重要的一类算法.智能优化算法与图像处理、故障检测、路径规划、粒子滤波、特征选择、生产调度、入侵检测、支持向量机、无线传感器、神经网络等技术领域交叉融合,应用更加广泛.以蝙蝠算法、果蝇优化算法、鲸鱼优化算法、樽...     

基于混合凸迁移和趋优柯西变异的对偶生物地理学优化算法

通过分析生物地理学优化算法(BBO)性能的不足,提出了一种基于混合凸迁移和趋优柯西变异的对偶生物地理学优化算法(DuBBO).在迁移算子中,采用动态的混合凸迁移算子,使算法能够快速地向最优解方向收敛;在变异机制中,采用趋优变异策略,并加入了柯西分布随机数帮助算法跳出局部最优解;最后将对偶学习策略集成到算法中,加快了算法收敛速度并提升了搜索能力.在23个benchmark函数上的实验结果证明了提出的三种改进策略的有效性和必要性.最后将DuBBO与BBO以及另外六种优秀的改进算法进行对比.实验结果表明,DuBBO在整体性能上最好、收敛速度更快、收敛精度更高.