Vertical handoff algorithm in heterogeneous networks to maximize system benefit

A new vertical handoff decision algorithm is proposed to maximize the system benefit in heterogeneous wireless networks which comprise cellular networks and wireless local area networks (WLANs). Firstly the block probability, the drop probability and the number of users in the heterogeneous networks are calculated in the channel-guard call admission method, and a function of the system benefit which is based on the new call arrival rate and the handoff call arrival rate is proposed. Then the optimal radius of WLAN is obtained by using simulation annealing (SA) method to maximize the benefit. All the nodes should handoff from cellular network to WLAN if they enter WLAN’s scope and handoff fromWLAN to cellular network if they leave the scope. Finally, the algorithm in different new call arrival rates and handoff call arrival rates is analyzed and results show that it can achieve good effects.     

热处理对电沉积Ni-Fe合金箔微观结构和磁性能的影响

对电沉积得到的Ni-Fe坡莫合金箔,在氢气气氛下进行退火处理,退火温度分别为850,1000和1150℃,保温时间均为5h.在扫描电子显微镜(SEM)和光学显微镜下观察合金箔断面和表面的显微结构,利用XRD检测合金箔的晶体结构,利用软磁材料直流磁性测试仪装置测得合金箔的直流磁特性.实验结果表明:在850～1150℃温度下热处理时,退火温度越高,合金箔的直流磁性能越好;经过退火热处理后合金箔的晶粒明显长大,而且合金箔存在明显的择优取向.     

一种用于车间调度的基于熵的混合遗传算法

为提高车间调度算法的寻优性能,通过对模拟退火遗传算法收敛图的研究,提出了评价算法种群有序性（差异性）的种群熵,基于种群熵,提出了改进的模拟退火遗传算法,该混合算法通过种群熵动态地改变算法的交叉和变异概率,使之适应种群的变化,提高种群的多样性,有效地克服算法的过早收敛,从而达到提高算法寻优性能的目的。仿真实例表明,所提出的算法的寻优性能有了显著的提高。     

基于HFC-ADM模型对SA的改进及应用

通过分析模拟退火算法（SA）以及利用分等级公平竞争（HFC）模型对SA改进的固有缺陷,提出新的基于自适应输入阀值的HFC模型（HFC-ADM）的模拟退火算法及其算法流程,同时进行详细的数学描述。最后以求证旅行商问题（TSP）为例,通过统计数据验证了改进后的算法较采用同样局部优化的标准退火算法和分等级公平竞争的模拟退火算法具有更好的收敛速度和优化解。     

一种新的快速FPGA布局算法

在模拟退火算法的基础上,提出了一种快速FPGA布局算法.该算法先用解析模型快速确定所有宏模块及单个逻辑模块的"理想"位置,然后通过局部扩散消除模块之间的重叠,得到一个较好的初始布局方案,最后再用低温的模拟退火进一步优化,确定各模块的最终位置.实验数据表明,以目前在学术界普遍采用的平方线网总长度为目标函数,与经典的VPR算法相比,新算法大大降低了布局所耗费的时间,而不影响最终布局方案的质量.     

基于遗传模拟退火算法的移动机器人静态路径规划

采用多边形法描述了机器人的工作环境模型,应用简化编码长度的技术简化了工作路径编码方式.对于基于遗传算法产生初始路径种群后的各路径的适应值进行评价.经过多次交叉、变异,并借助模拟退火中Metropolis算法的随机移动准则制定了高效的温度更新函数,获得了从起始点到目标点的一条全局最优路径.最后在Visual C++环境中通过仿真验证了此算法的可行性和高效性.     

Experimental studies on the erosion rate of different heat treated carbon steel economiser tubes of power boilers by fly ash particles

The experimental investigations on the effect of the fly ash particle size, velocity, impingement angle, and feed rate were done with an emphasis on the effect of erosion on annealed SA 210 GrA1 (A) and normalized SA 210 GrA1 (N) carbon steel economizer-tube materials. Erosion rates were evaluated with different impingement angles ranging from 15° to 90°, at four different velocities of 32.5, 35, 37.5, and 40 m/s, and at four different feed rates of fly ash particles of 2, 4, 6 and 8 g/min. The erodent used was fly ash particles, sizes ranging from 50-250 μm of irregular shapes. Erosion rate is found to be the maximum at the impingement angle of 30°. Erosion rates of the carbon steel tube in different heat treatment conditions, annealed and normalized, at a constant velocity of 32.5 m/s with different angles were studied. In all cases of feed rates, impingement angles, particle sizes, and velocities of fly ash particles, it has been found that the erosion rate of the annealed tube is less than that of the normalized tube. Empirical correlations for erosion rate relating the velocity, size, feed rate, and impingement angle of the particles and elongation property of the target materials were arrived. Morphologies of the eroded surface were examined by scanning electron microscope (SEM).     

连续退火模拟实验机氢气使用的安全控制策略

从冷轧带钢连续退火模拟实验机气体工作原理和氢气物理特性入手,进行用氢安全策略的分析,设计出一整套氢气使用的安全控制策略.主要包括炉体密封性能的安全控制、炉体内气体含量的安全控制、厂房内氢气检测报警的安全控制、安全互锁和紧急处理等控制.研制成功的一台冷轧带钢连续退火模拟实验机在某钢铁企业的现场应用情况良好,氢气频繁使用,没有任何事故发生,表明设计的安全控制策略能充分保证氢气使用的安全性能.     

模拟退火遗传算法的泵站优化运行

针对泵站在不同流量扬程要求时,水泵运行组合不合理,导致泵站运行效率低的问题,提出以泵站总功率最小为目标函数的优化运行数学模型.此模型以水泵扬程、总供水量和调速泵的调速率为约束条件,利用模拟退火遗传算法确定并联运行泵的台数、调速泵的调速率及泵的流量分配,实现泵站的优化运行.该算法引入了不可行度对每代种群做初始选择,并利用不可行度取代传统的惩罚函数,平衡目标函数最优化和满足约束条件这两方面的要求.最后通过实例验证了本算法在求解泵站优化调度问题方面的可行性.     

Optimization of web search engine and its application to web mining

With the explosive growth of information sources available on the World Wide Web, how to combine the results of multiple search engines has become a valuable problem. In this paper, a search strategy based on genetic simulated annealing for search engines in Web mining is proposed. According to the proposed strategy, there exists some important relationship among Web statistical studies, search engines and optimization techniques. We have proven experimentally the relevance of our approach to the presented queries by comparing the qualities of output pages with those of the original downloaded pages, as the number of iterations increases better results are obtained with reasonable execution time.