模拟退火与遗传算法结合的数字FIR滤波器硬件进化算法

为提高数字FIR滤波器进化硬件的寻优性能,将模拟退火与遗传算法结合的新型算法作为其进化算法.该算法是在对进化硬件种群进行遗传算法操作之后,从种群中选择适当的个体进行模拟退火操作,退火的温度随着遗传算法进化代数的增加而逐步降低,直至达到优化目标.为满足算法处理能力的要求,硬件系统采用平台式FPGA的可编程SoC结构.仿真实验结果表明

A comparative study of thermolysis characteristics and kinetics of seaweeds and fir wood

Thermal analysis and thermolysis kinetics of three kinds of seaweeds and fir wood (M. glyptostriboides Huet Cheng), a kind of typical land plant, had been conducted. The results showed that thermal stability follows the order of Grateloupia filicina < Ulva lactuca < Dictyopteris divaricata < fir wood. A notable difference on heat flow between seaweeds and fir wood during thermolysis was that the former were mainly connected with exothermic processes at relatively lower temperature regimes. while the latter was connected with an apparent endotherm at a relatively higher temperature regime followed by a maximum exothermic peak. This suggested that the heat coupling might be realized if co-thermolysis of seaweeds and fir wood were carried out. The main devolatilization phase of each seaweed could be described by Avrami-Erofeev equation, which indicated that thermolysis of seaweeds follows the mechanism of random nucleation and nuclei growth, whereas that of fir wood by Z-L-T equation and its thermolysis mechanism was three-dimensional diffusion. The activation energies calculated for both seaweeds and fir wood increase as conversion increases. However, those for the former have wider distribution. (c) 2006 Elsevier Ltd. All rights reserved.