Ant colony optimization for routing and load-balancing: survey and new directions

Although an ant is a simple creature, collectively a colony of ants performs useful tasks such as finding the shortest path to a food source and sharing this information with other ants by depositing pheromone. In the field of ant colony optimization (ACO), models of collective intelligence of ants are transformed into useful optimization techniques that find applications in computer networking. In this survey, the problem-solving paradigm of ACO is explicated and compared to traditional routing algorithms along the issues of routing information, routing overhead and adaptivity. The contributions of this survey include 1) providing a comparison and critique of the state-of-the-art approaches for mitigating stagnation (a major problem in many ACO algorithms), 2) surveying and comparing three major research in applying ACO in routing and load-balancing, and 3) discussing new directions and identifying open problems. The approaches for mitigating stagnation discussed include: evaporation, aging, pheromone smoothing and limiting, privileged pheromone laying and pheromone-heuristic control. The survey on ACO in routing/load-balancing includes comparison and critique of ant-based control and its ramifications, AntNet and its extensions, as well as ASGA and SynthECA. Discussions on new directions include an ongoing work of the authors in applying multiple ant colony optimization in load-balancing.     

高强混凝土T形截面双向压弯构件承载力的研究

对9根T形截面高强混凝土双向压弯构件进行试验研究,揭示了这类构件的破坏形态,并进一步分析T形截面正截面承载力的变化规律.     

Optimal registration of object views using range data

This paper deals with robust registration of object views in the presence of uncertainties and noise in depth data. Errors in registration of multiple views of a 3D object severely affect view integration during automatic construction of object models. We derive a minimum variance estimator (MVE) for computing the view transformation parameters accurately from range data of two views of a 3D object. The results of our experiments show that view transformation estimates obtained using MVE are significantly more accurate than those computed with an unweighted error criterion for registration     

基于智能工程的钟表CAD系统的研究与设计

基于智能工程的思想，提出了一种并行分层结构的集成化智能ＣＡＤ系统，并在钟表ＣＡＤ中得到成功应用，同时还首次将布局理论应用到钟表机芯设计中。     

关于TAP6程序开发及应用

ＴＡＰ６是一个能求解稳态或非稳热传导的程序系统，可解热传导，对流换热，热辐射，热源等问题，又可作为ＳＡＰ６程序的前处理热分析程序，给出结构温度场供ＳＡＰ６进行热应力计算。     

基于网络数据管理的研究与设计

基于网络的数据管理是网络存储领域中的关键性前沿技术，在讨论网络数据管理的体系结构、信息流和其工作机制的基础上，分析了目前网络数据管理协议的不足，由此提出了myNDMP原型．对该原型的设计原理及其实现机制进行了阐述．研究结果表明，该原型提高了网络数据管理的可扩展性．     

低温冷冻干燥装置的研制

冷冻干燥过程的研究对实验室用小型冷冻干燥装置提出了新的性能要求。笔者设计并制作了一台低温冷冻干燥装置 ,首次应用新型的自动复叠循环作其制冷系统。该装置最低制冷温度低于 - 80℃ ,并且能对温度、真空度以及制品质量进行准确地测量和控制 ,可用于多种制品冷冻干燥过程的研究和优化     

Dynamic parallel machine scheduling with mean weighted tardiness objective by Q-Learning

In this paper, we discuss a dynamic unrelated parallel machine scheduling problem with sequence-dependant setup times and machine–job qualification consideration. To apply the Q-Learning algorithm, we convert the scheduling problem into reinforcement learning problems by constructing a semi-Markov decision process (SMDP), including the definition of state representation, actions and the reward function. We use five heuristics, WSPT, WMDD, WCOVERT, RATCS and LFJ-WCOVERT, as actions and prove the equivalence of the reward function and the scheduling objective: minimisation of mean weighted tardiness. We carry out computational experiments to examine the performance of the Q-Learning algorithm and the heuristics. Experiment results show that Q-Learning always outperforms all heuristics remarkably. Averaged over all test problems, the Q-Learning algorithm achieved performance improvements over WSPT, WMDD, WCOVERT, RATCS and LFJ-WCOVERT by considerable amounts of 61.38%, 60.82%, 56.23%, 57.48% and 66.22%, respectively.     

Ni对中碳高强度弹簧钢腐蚀疲劳性能的影响

采用加速腐蚀(5%NaCl盐雾)试验和旋转弯曲疲劳试验,研究了0.52%～1.00%Ni对2000 MPa级中碳弹簧钢NHS(%:0.44～0.45C、1.95～2.08Si、0.68～0.70Mn、0.90～0.92Cr、0.14～0.15V)腐蚀疲劳性能的影响。结果表明,增加NHS钢中的M含量,腐蚀坑深度降低,在5%NaCl水溶液中钢的点蚀电位增加,从而导致腐蚀疲劳强度提高。与传统的60Si2CrVA弹簧钢相比,NHS弹簧钢呈现出良好的耐腐蚀疲劳性能。     

热终轧温度及预先退火对高压阳极箔立方织构影响的研究

研究了热终轧温度及预先退火工艺对高压阳极箔立方织构的影响.热终轧温度及预先退火工艺对热轧板的原始取向及杂质存在形态都有很大的影响,而二者对成品箔立方织构的遗传性极强.因此,采用合理的工艺制度能为高压阳极箔立方织构比例的增强创造有利条件.结果表明,对于Fe、Si杂质含量小于15mg/kg高纯铝,采用热粗轧开轧温度500～530℃、热精轧终轧温度≥280℃、预先退火为400～450℃/2h的工艺制度,成品高压阳极箔具有很强的立方织构,立方织构比例可达到90%以上.