可获知偶发拥堵持续时间的动态车辆路径问题

考虑真实交通路网,探讨了可获知偶发拥堵持续时间的动态车辆路径问题.在利用改进的Dijksta算法将路段行驶时间转化为客户点间最短行驶时间的基础上,根据常发拥堵信息,通过遗传算法安排车辆初始配送路径,根据实时获知的偶发拥堵因素影响下的路段行驶时间和其持续时间,以2-opt和insertion方法更新车辆配送路径,通过车载导航系统实时指导车辆行驶路线.数值试验表明,该方法可根据偶发拥堵信息更新车辆配送路线,以避开偶发拥堵影响路段,缩短总配送时间0.65~13.18 min;获知偶发拥堵持续时间帮助多节省了配送时间 -0.16~4.17 min.节省的时间随偶发拥堵因素对路网影响的加剧而更显著.     

锚泊辅助动力定位研究与进展

  目的  为优化布锚夹角并满足锚泊线的强度要求,提出一种计算锚泊系统静回复力的方法。  方法  使用该方法,研究布锚夹角对平台静回复力、艏向变化及锚泊线受力均匀程度的影响。利用改进的遗传算法,优化布锚夹角,并从2个方面提高算法精度：一是通过对3种因素（静回复力大小、静回复力对扰动方向的敏感程度、锚泊线的受力均匀程度）的影响分析人为生成初始种群;二是结合自适应算法加强局部搜索能力。  结果  结果显示,改进后的遗传算法拥有更高的优化精度,把优化后的结果反馈给锚泊系统受力模型,可降低锚泊线对破坏强度的要求。  结论  所做研究可为锚泊系统布锚夹角及锚泊线材质的选择提供参考。     

深圳市公交信息查询系统的设计与实现

针对当前公交查询系统存在的缺点,从系统功能、数据库设计、查询算法几个方面对深圳市公交信息查询系统进行研究。该系统采用VISUALBASIC6．0为开发工具,MICROSOFT ACCESS2003为后台数据库,实现了公交站点信息查询、公交线路信息查询,公交线路换乘查询和地图显示等一系列功能。     

基于遗传算法的操舵仪控制参数在线优化

采用遗传算法对航向保持自动操作仪控制参数进行在线优化,计算机仿真表明,遗传算法可以方便地得到全局最优解,故控制器可以快速稳定地跟踪预定航向,且系统具有较好的鲁棒性。     

基于遗传算法的盾构隧道管片接头刚度反演研究北大核心CSCD

梁-弹簧模型在管片衬砌结构计算中应用较广泛,目前接头刚度取值方法主要有模型试验法及经验取值法,模型试验法耗时长、成本高昂,而依据经验取值难免存在一定主观性。鉴于此,利用C++编程语言,基于遗传算法开发了盾构隧道管片结构位移反分析程序,首先通过弹性模量值反演算例,得出反演值与理论值误差为1.4%,验证了算法和程序的可行性。利用程序将反演接头刚度值与实际设计案例管片接头刚度值进行对比,反演计算结果表明:正弯矩下管片环向接头转动刚度值反演误差为2.6%,负弯矩下管片环向接头转动刚度值反演误差为4.3%。     

改进原对偶遗传算法在搜索边坡最危险滑动面中的应用

文章基于janbu条分法,提出一种改进的原对偶遗传算法,并开发出相应的计算程序,自由搜索边坡任意形状最危险滑动面,求解其最小安全系数。通过工程实例验算证明,改进原对偶遗传算法是一种值得推广的边坡稳定性分析方法。     

An integrated programming model for storage management and vehicle scheduling at container terminals

In this paper, we study the optimization of yard operations, which are critical for the terminal efficiency. A linear mixed integer programming (MIP) model is proposed for scheduling different types of equipment and planning the storage strategy in an integrated way. We also investigate a nonlinear mixed integer programming (NLMIP) model to reduce the number of constraints and the computational time. A set of numerical results are carried out for the comparison between the linear model and the nonlinear model. Finally, we propose a genetic algorithm for the MIP model to illustrate how large scale problems can be solved and to show the effect of different factors on the performances of the optimization model.     

Designing H ∞/GH 2 static-output feedback controller for vehicle suspensions using linear matrix inequalities and genetic algorithms

This paper presents an approach to design the H _∞/GH ₂ static-output feedback controller for vehicle suspensions by using linear matrix inequalities (LMIs) and genetic algorithms (GAs). Three main performance requirements for an advanced vehicle suspension are considered in this paper. Among these requirements, the ride-comfort performance is optimized by minimizing the H _∞ norm of the transfer function from the road disturbance to the sprung mass acceleration, while the road-holding performance and the suspension deflection limitation are guaranteed by constraining the generalized H ₂ (GH ₂) norms of the transfer functions from the road disturbance to the dynamic tyre load and the suspension deflection to be less than their hard limits, respectively. At the same time, the controller saturation problem is considered by constraining its peak response output to be less than a given limit using the GH ₂ norm as well. A four-degree-of-freedom half-car model with active suspension system is applied in this paper. Several kinds of H _∞/GH ₂ static-output feedback controllers, which use the available sprung mass velocities or the suspension deflections as feedback signals, are obtained by using the GAs to search for the possible control gain matrices and then resolving the LMIs together with the minimization optimization problem. These designed H _∞/GH ₂ static-output feedback controllers are validated by numerical simulations on both the bump and the random road responses which show that the designed H _∞/GH ₂ static-output feedback controllers can achieve similar or even better active suspension performances compared with the state-feedback control case in spite of their simplicities.     

Automated manufacture of optimised shape-adaptive composite hydrofoils with curvilinear fibre paths for improved bend-twist performance

Composite marine propellers improve hydrodynamic efficiency by inducing bend-twist coupling and allowing for passive pitch changes. One critical limitation, however, is the extent to which a composite propeller blade can deform and cause a pitch change without incurring structural failure. Recent numerical studies showed that curvilinear tows could improve the structural response of a composite blade by lowering its deflection or stress and strain required to induce a pitch change, but no experimental validation has been carried out before. The current study, thus, presents the manufacture of composite sandwich hydrofoils made with steered tows using automated fibre placement and validates the curvilinear tow benefits. Two hydrofoils were optimised with straight and curved fibre path layups, respectively and were manufactured for mechanical testing. The manufacturing complications arising from steering curvilinear tows in a three-dimensional convex mould are also discussed in the paper. The study found that significant tow buckling occurred near the tool cavity edge due to excessive steering radius during manufacture. The follow-up structural cantilevered tests showed that the experimental results were consistent with the FE predictions despite the presence of some manufacturing defects. The experiment agreed that the hydrofoil manufactured with curved tows achieved a similar tip twist but a significant reduction in deflection and critical principal strains compared to the hydrofoil made with straight tows. The use of a foam core reduced the overall weight of the sandwich hydrofoils by about 25% compared to that of a fully-carbon composite hydrofoil, and the numerical analysis showed that the core shear failure induced by transverse shear stresses was unlikely to occur.     

Magic Formula轮胎模型参数辨识的一种混合优化方法

Magic Formula(MF)轮胎模型能够准确描述轮胎的侧偏特性,广泛应用于车辆动力学的研究。由于MF轮胎模型参数多,且高度非线性,从大量的试验数据中准确辨识这些参数相当困难。提出一种基于遗传算法和数值优化算法的混合优化方法,采用由粗到精的辨识过程,先利用遗传算法得出近似最优解,再利用数值优化算法辨识出精确的参数。利用辨识出的参数计算轮胎的侧偏特性,计算结果与试验数据吻合良好,表明该方法是辨识MF轮胎模型参数的有效手段。