基于改进麻雀算法优化深度极限学习机的缺失数据预测

数据缺失降低了数据的可利用性,因此如何预测缺失数据变得尤为重要。针对缺失数据问题,提出一种改进麻雀搜索算法优化深度极限学习机的预测算法。首先,将 Singer混沌映射、柯西-高斯变异策略和余弦权重因子与麻雀搜索算法结合;其次利用改进后的麻雀搜索算法优化深度极限学习机中的各极限学习机中自动编码器的输入权重与偏置,进行缺失数据预测。实验表明,在小数据量,低缺失率下时,改进麻雀搜索算法优化深度极限学习机相较于麻雀搜索算法优化深度极限学习机、粒子群优化深度极限学习机、深度极限学习机,其稳定性强,预测精度最高;在均方根误差、平均绝对误差等评价指标上改进麻雀搜索算法优化深度极限学习机优于对比算法。     

MIMO系统中基于星座约束的LAS检测算法

似然上升搜索(LAS)算法是一种启发式邻域搜索算法,能够对空分复用的大规模多输入多输出(MIMO)系统的接收信号进行检测。为了降低传统LAS算法的复杂度,提出了一种基于星座约束(CC)的CC–LAS算法。该算法利用一个星座约束(CC)结构判定每个候选解的可靠性,根据可靠性判定结果缩小候选解的邻域空间,再利用LAS算法对不可靠候选解进行检测。提出的CC–LAS算法通过忽略LAS邻域空间中大量不必要的邻居向量,排除对低可靠度信号的低效处理,从而大幅度降低了传统LAS算法的计算复杂度。仿真结果表明,提出的CC–LAS算法的误码率(BER)性能与传统的LAS算法非常接近,并且在信噪比(SNR)相同的情况下,能够大幅度降低计算复杂度。     

双循环策略下岸桥与跨运车的联合调度

集装箱码头采用跨运车能够减少作业环节和码头机械设备的种类与数量,同时缓存区容量的设置至关重要。首先,为降低码头总完工时间、提高码头作业效率,并解决采用跨运车作为水平运输设备与岸桥进行联合装卸作业时产生的时空协调问题,引入了双循环操作策略,对岸桥与跨运车的联合作业序列优化问题进行研究。其次,建立以总完工时间最小化为目标,考虑岸桥与跨运车双循环操作的实际约束、岸桥缓存区容量限制、安全时间等约束的混合整数规划模型。然后,针对传统禁忌搜索（TS）算法的局限性,加入贪婪算法、多种邻域搜索方式、响应性策略,设计了基于贪婪算法的响应性TS算法,并进行了数值实验。实验结果验证了所提模型与算法的有效性。最后,通过对缓存区容量与跨运车数量、岸桥与跨运车配比的实验分析,得出了最优的跨运车数量和缓存区容量、岸桥与跨运车配比。结果表明：与传统码头设备配置相比,双循环策略可减少跨运车使用数量,提高岸桥与跨运车使用率。     

基于Web数据挖掘的个性化搜索引擎研究综述

Web数据挖掘是将教据挖掘技术和理论应用于对WWW资源进行挖掘的一个新兴的研究领域.论述Web数据挖掘的发展现状、发展趋势以及将来可能的研究方向,并简单介绍个性化搜索引擎的一些情况,论述web教据挖掘在个性化搜索引擎中的应用.     

Web2．0环境下的网络信息检索研究

Web2．0网站在现有网站中的比例越来越高,其具有的互动性、提倡个人体验等特点给信息搜索带来了新的挑战。该文分析了Web2．0的特点,指出Web2．0的某些特点会导致很多信息隐蔽化,并从隐蔽信息检索的角度尝试性地提出了解决办法。     

Sequencing algorithms for multiple arc-welding robots considering thermal distortion

This paper focuses on sequencing welding lines in multiple arc-welding robot systems, which is the problem of assigning individual welding operations to robots as well as determining their sequences with the objective of minimizing the maximum completion time. Each welding operation is denoted by a weld line with two end-points, each of which can be a possible starting point for the welding operation. Thermal distortion is explicitly considered by introducing a delay between welding operations associated with weld lines near each other. Due to the complexity of the problem, this paper suggests three types of search heuristics, genetic algorithms, simulated annealing and tabu search, each of which incorporates new methods to generate neighbourhood solutions. To show the performances of the heuristics, computational experiments are performed on a number of randomly generated test problems, and the results are reported. In particular, some of the search heuristics outperform the exiting method.     

Probabilistic and testing analysis for the variability of load spectrum damage in a fleet

Scatter of fatigue life of a fleet is mainly caused by the variability in structures and load spectra. To ensure the safety in service, the probabilistic characterization of load spectrum variability should be researched in durability analysis and testing work. This paper investigates the variability of load damage rate of a fleet. Based on the flight historical parameters measured by individual aircraft tracking (IAT) from hundreds of aircrafts for a certain type of fighter in China, SWT formula and linear damage rule are used to evaluate the load damage, and then, one average and four other individual load spectra are selected corresponding to different damage severities. Fatigue tests are conducted with the Aluminum alloy 7B04-T74 specimens under five spectra and the Titanium alloy TA15M specimens under three of them. The engineering crack initiation lives are measured and the mean lives are estimated assuming the fatigue life following a log-normal distribution. An obvious difference of at least 2.4 times in the load damage rates is found in the fleet. The fatigue lives of a fleet of aircrafts are calculated by Neuber’s approach, and the probabilities refer to damage severities of those 5 load spectra in a fleet are evaluated. The statistical analysis of the fatigue lives and the probabilities shows that a lognormal distribution can be used to describe the variability of load damage rate of a fleet. The variation of the load damage rate is in the same order of magnitude with that in structural properties.     

Tenure Choice and Labour Market Outcomes

In a series of papers Andrew Oswald has suggested that since home owners are relatively less mobile across geographic locations than renters, regional home ownership rates are positively correlated with regional unemployment rates. This paper examines this hypothesis at the individual level. Search theory suggests that when a subset of the population is less mobile than others, this less mobile group (that is, owners) will have lower probability of employment, longer spells of unemployment and lower wages than more mobile renters. These hypotheses on inferior labour market outcomes for owners were tested using US Current Population Survey data as well as data from the Panel Survey of Income Dynamics. The empirical model suggests that these hypotheses are not supported by any of the tests. Home owners, conditionally or unconditionally, have better labour market outcomes than renters.     

Job Search Networks and Strategies in Scattered-site Public Housing

How does poverty dispersal influence the job search tactics and networks of poor women? Using the results of interviews with 253 women living in dispersed and small clusters of public housing, this paper examines how job networks and search tactics may vary. The premise is that the mechanisms involved in connecting poor residents of more affluent areas with opportunity may consist of both social connections and new strategies for accessing opportunity. The paper finds that dispersed residents have job networks containing more diverse information. Second, dispersed residents more often used formal methods to find their most recent job. Third, dispersed residents seek better jobs, net of demographic controls, search method, and search outcome. The paper discusses the implications of these findings for the design of housing mobility and mixed-income housing programmes, the current policy emphasis at the US Department of Housing and Urban Development.