一种柔性化卷烟配送线路优化算法研究

提升卷烟物流配送效率是烟草行业物流创新发展的热点之一,当前,国际各烟草企业都在进行卷烟物流配送技术创新,以不断提升烟草物流效率,降低物流成本。文中以信息化技术创新支撑烟草物流业务创新为方向,研究并提出了一种包含线路规划(VRP)算法和柔性分割算法的线路优化算法,推动卷烟配送服务从“固定”模式向动态线路优化、动态调度车辆为特点“柔性化”模式转变。为验证优化算法的有效性,我们在湖北省荆州市烟草物流配送中心进行了算法验证,结果表明,算法可有效提高终端配送车辆装载率、设备利用率和人均劳效。

基于栅格法的公交线路优化建模与强化学习

公交线路的布线和优化工作一直是城市规划建设中极为重要的一部分,目前在上海市,这一工作下沉到区级建设和交通委员会实施,但该项工作的落实不仅耗费人力,还往往缺乏科学性,不能满足居民出行需求。针对这一现实问题,将公交线路解构成站点选址和线路生成两部分。首先,通过栅格法对区域地图和各类数据进行量化建模,使用MATLAB对各类影响公交站点分布的数据进行处理后生成最优公交站点分布;然后,使用Python通过遗传算法生成一组最优化公交路线,并使用强化学习优化算法运行速度,实现了区域内部的公交线路科学性布线优化工作,提高了相关工作的效率。

基于蚁群算法的防空兵兵力机动线路优化

根据防空兵对机动线路的要求以及战时的安全性特点,得出影响防空兵兵力机动线路选择的因素,引入里程指数的概念,将线路的长度进行修正赋权,给出兵力机动线路的等效线路长度。把这一等效线路长度结合到蚁群算法中,能够较好地模拟现代战场的复杂环境对防空兵兵力机动路线选择的影响,并科学、合理地选择路线,为指挥员的决策提供帮助。

基于岭回归算法自动优化既有铁路曲线的研究

针对捣固车作业特点,以实际作业所采集到的某条既有铁路曲线的实测数据为例,采用正矢-距离坐标系为参考系,通过编程对实测数据所得曲线的特征进行分析,提出采用岭回归算法对实测数据进行曲线拟合,并通过对比不同采样点及不同λ系数对实际曲线的拨道量及曲率变化情况,仿真结果表明针对该实测数据,当采样点相同而λ值不同时,λ值为0.001时的拟合效果最佳;当采样点不同而λ值相同时,取8 m为一个采样点所得拟合效果最佳.实例分析表明,算法可以得到可供实际整正作业的、拨道量最小的、较为平滑的优化曲线,算法适用于捣固车作业.

输电线路方向对电力系统稳定性的影响与优化策略分析

阐述输电线路方向对电力系统稳定性的影响,探讨稳定性优化策略,包括可行性分析、路径优化算法、网络规划和布局、智能输电网技术、新型输电线路布置方式,以及跨区调度和能量互联网技术。

我国农村地区开展BtoC电子商务物流配送的新模式--基于区域客运班车系统的配送解决方案

针对我国农村地区开展区域B toC电子商务物流配送成本高、时间长、配送体系不完善的问题,提出基于区域客运班车系统的配送解决方案,设计了整体框架,作业流程,并对解决配送路线选择这一关键问题提出相应的求解算法。

Optimized QoS Routing Algorithm

QoS routing is one of the key technologies for providing guaranteed service in IP networks. The paper focuses on the optimization problem for bandwidth constrained QoS routing, and proposes an optimal algorithm based on the global optimization of path bandwidth and hop counts. The main goal of the algorithm is to minimize the consumption of network resource, and at the same time to minimize the network congestion caused by irrational path selection. The simulation results show that our algorithm has lower call blocking rate and higher throughput than traditional algorithms.

Safety Evaluation Method of Evacuation Routes in Areas in Case of Earthquake Disasters Using Ant Optimization Algorithm and Geographic Information Systems

The present study aims to propose the method for the quantitative evaluation of safety concerning evacuation routes in case of earthquake disasters in urban areas using ACO （Ant Colony Optimization） algorithm and GIS （Geographic Information Systems）. Regarding the safety evaluation method, firstly, the similarity in safety was focused on while taking into consideration road blockage probability, and after classifying roads by means of the hierarchical cluster analysis, the congestion rates of evacuation routes using ACO simulations were estimated. Based on these results, the multiple evacuation routes extracted were visualized on digital maps by means of GIS, and its safety was evaluated. Furthermore, the selection of safe evacuation routes between evacuation sites, for cases when the possibility of large-scale evacuation after an earthquake disaster is high, is made possible. As the safety evaluation method is based on public information, by obtaining the same geographic information as the present study, it is effective in other areas regardless of whether the information is of the past and future. Therefore, in addition to spatial reproducibility, the safety evaluation method also has high temporal reproducibility. Because safety evaluations are conducted on evacuation routes based on quantified data, highly safe evacuation routes that are selected have been quantitatively evaluated, and thus serve as an effective indicator when selecting evacuation routes.

基于CATIA平台的汽车覆盖件模具快速管路系统

基于CATIA平台下的CAA技术,开发了用于汽车覆盖件模具的快速管路设计系统。提出了基于坐标转换的直角化布线算法,可以在节省布线时间的同时保证管路布置的美观性和合理性;通过智能化布线与人工交互相结合的方式,应用孔内特征自动提取、自由点避障、布线优化等技术,有效减少管路设计中的重复性工作,将工程师从繁杂的建模任务中解放出来。系统还集成了标准件的快速调入、位置调整和BOM属性添加等工具,利用CATIA的参数化功能,确保设计的规范性和一致性,减少设计的错误率,有效提高设计效率。