基于改进PSO-GA算法的轨道精调优化研究

为了解决轨道精调过程中调整量过大且调整效率低的问题,本文提出一种改进粒子群-遗传算法进行调整量优化改善轨道不平顺。该算法充分利用粒子群算法搜索速度快及遗传算法搜索范围广的优点,且在遗传操作中引入最优保存策略,一种新的自适应交叉方式、自适应变异。相较于传统算法,改进后的算法有更强的跳出局部最优、保持活力的能力。研究结果表明:改进PSO-GA算法的实验结果,相较于遗传算法和粒子群算法,调整量的平均值改善了16.1%和5.5%。并且经过该算法调整后的各指标平顺性都优于其它算法,即该算法在可以保证最小调整量,减少工作量的同时又可以确保轨道高平顺性。

Industrial and Agricultural Effects on Water Environment and Its Optimization in Heavily Polluted Area in Taihu Lake Basin, China

The deteriorating water quality in the Taihu Lake Basin has attracted widespread attention for many years, and is correlated with a sharp increase in the quantity of pollutant discharge such as agricultural fertilizers and industrial wastewater. In this study, several factors were selected for evaluating and regionalizing the water environmental capacity by ArcG1S spatial analysis, including geomor- phologic characteristics, water quality goals, water body accessibility, water-dilution channels, and current water quality. Then, the spa- tial optimization of agriculture and industry was adjusted through overlay analysis, based on the balance between industrial space and water environmental capacity. The results show that the water environmental capacity gradually decreases from the west to the east, in contrast, the pollution caused by industrial and agricultural clustering is distributes along Taihu Lake, Gehu Lake and urban districts. The analysis of the agricultural space focuses on optimizing key protected areas of the Taihu Lake Basin, and the shores of Gehu Lake, optimally adjusting the second protected areas of the Taihu Lake Basin, and generally adjusting the urban areas of Changzhou and Wuxi cities. The analysis of industrial space focuses on optimizing the downtowns of Changzhou and Wuxi cities, optimally adjusting key protected areas and second protected areas of the Taihu Lake Basin, and generally adjusting the south and southwest of Gehu Lake. Lastly, some schemes of industrial and agricultural layouts and policies for the direction of industrial and agricultural development were proposed, reflecting a correlation between industry and agriculture and the water environment.

Optimized vehicle scheduling and filling model based on effective space and integrated solving algorithm

We established an integrated and optimized model of vehicle scheduling problem and vehicle filling problem for solving an extremely complex delivery mode-multi-type vehicles, non-full loads, pickup and delivery in logistics and delivery system. The integrated and optimized model is based on our previous research result-effective space method. An integrated algorithm suitable for the integrated and optimized model was proposed and corresponding computer programs were designed to solve practical problems. The results indicates the programs can work out optimized delivery routes and concrete loading projects. The model and algorithm have many virtues and are valuable in practice.

高铁无砟轨道钢轨精调优化算法

长钢轨应力放散锁定后的轨道精调是确保客运专线无砟轨道几何形位高平顺性的必要阶段。精调作业常通过轨道几何状态测量仪采集轨道三维数据,利用配套精调软件包手动模拟得出调整方案,指导轨道精调。模拟精调中常常反复调整才能使基准轨平顺性达标,自动化程度低。基准轨平顺性满足要求后,仅依靠轨距、轨距变化率、水平和扭曲等参数控制非基准轨,会降低其平顺性。为此,提出利用L1范数最优原则进行双轨精调的优化算法（optimization algorithm of double-rails track fine adjustment,OADTFA）,建立顾及基准弦端点偏差的平顺性约束,增加非基准轨轨向、高低约束,采用逐点移动基准弦分组调整策略,由单纯形法求解优化调整量。实测数据测试结果表明,OADTFA可实现钢轨自动化精调,确保双轨任意处几何形位高平顺性,自动给出最优左右轨调整量。