Based on the current cloud computing resources security distribution model’s problem that the optimization effect is not high and the convergence is not good, this paper puts forward a cloud computing resources secur...Based on the current cloud computing resources security distribution model’s problem that the optimization effect is not high and the convergence is not good, this paper puts forward a cloud computing resources security distribution model based on improved artificial firefly algorithm. First of all, according to characteristics of the artificial fireflies swarm algorithm and the complex method, it incorporates the ideas of complex method into the artificial firefly algorithm, uses the complex method to guide the search of artificial fireflies in population, and then introduces local search operator in the firefly mobile mechanism, in order to improve the searching efficiency and convergence precision of algorithm. Simulation results show that, the cloud computing resources security distribution model based on improved artificial firefly algorithm proposed in this paper has good convergence effect and optimum efficiency.展开更多
基于光谱消光法,利用一种改进的人工鱼群算法(improved artificial fish school algorithm,IAFSA)反演单峰和双峰气溶胶粒子粒径分布。其中,正问题的求解采用反常衍射近似(anomalous diffraction approximation,ADA)和Lambert-Beer定律...基于光谱消光法,利用一种改进的人工鱼群算法(improved artificial fish school algorithm,IAFSA)反演单峰和双峰气溶胶粒子粒径分布。其中,正问题的求解采用反常衍射近似(anomalous diffraction approximation,ADA)和Lambert-Beer定律。研究结果表明:相对标准人工鱼群算法而言,IAFSA能很好地避免出现后期收敛速度慢、精度低等问题。在非独立模型下反演气溶胶粒径分布时,IAFSA算法体现出很好的收敛精确度和鲁棒性。在非独立模型下,IAFSA算法可用于反演实际测量得到的哈尔滨地区气溶胶粒径分布。展开更多
文摘Based on the current cloud computing resources security distribution model’s problem that the optimization effect is not high and the convergence is not good, this paper puts forward a cloud computing resources security distribution model based on improved artificial firefly algorithm. First of all, according to characteristics of the artificial fireflies swarm algorithm and the complex method, it incorporates the ideas of complex method into the artificial firefly algorithm, uses the complex method to guide the search of artificial fireflies in population, and then introduces local search operator in the firefly mobile mechanism, in order to improve the searching efficiency and convergence precision of algorithm. Simulation results show that, the cloud computing resources security distribution model based on improved artificial firefly algorithm proposed in this paper has good convergence effect and optimum efficiency.
文摘基于光谱消光法,利用一种改进的人工鱼群算法(improved artificial fish school algorithm,IAFSA)反演单峰和双峰气溶胶粒子粒径分布。其中,正问题的求解采用反常衍射近似(anomalous diffraction approximation,ADA)和Lambert-Beer定律。研究结果表明:相对标准人工鱼群算法而言,IAFSA能很好地避免出现后期收敛速度慢、精度低等问题。在非独立模型下反演气溶胶粒径分布时,IAFSA算法体现出很好的收敛精确度和鲁棒性。在非独立模型下,IAFSA算法可用于反演实际测量得到的哈尔滨地区气溶胶粒径分布。
