Inicio  /  Nauka ta Progres Transportu  /  Núm: 21 Par: 0 (2008)  /  Artículo
ARTÍCULO
TITULO

The integer vector of optimization problem of determining the optimal composition of passenger trains

O. O. Bosov    
H. M. Kodola    

Resumen

An algorithm for determination of integer solution of the task of vector optimization for convex functions is offered.

 Artículos similares

       
 
Dongbo Cai, Shaoqiang Chai, Mingzhuan Wei, Hui Wu, Nan Shen, Yin Zhou, Yanchao Ding, Kaixin Hu and Xingyi Hu    
The current expansion of building structures has created a demand for efficient and smart surface quality evaluation at the acceptance phase. However, the conventional approach mainly relies on manual work, which is labor-intensive, time-consuming, and u... ver más
Revista: Buildings

 
Yilin Liu, Ruochen Liu, Ruihang Yu, Zhiming Xiong, Yan Guo, Shaokun Cai and Pengfei Jiang    
To reduce costs, an unmanned swarm usually consists of nodes with high-accuracy navigation sensors (HAN) and nodes with low-accuracy navigation sensors (LAN). Transmitting and fusing the navigation information obtained by HANs enables LANs to improve the... ver más
Revista: Drones

 
Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia    
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur... ver más
Revista: Future Internet

 
Jingxue Wang, Xiao Dong and Guangwei Liu    
The accuracy of point cloud processing results is greatly dependent on the determination of the voxel size and shape during the point cloud voxelization process. Previous studies predominantly set voxel sizes based on point cloud density or the size of g... ver más

 
Sheng He, Geng Niu, Xuefeng Sang, Xiaozhong Sun, Junxian Yin and Heting Chen    
Accurate and reliable discharge estimation plays an important role in water resource management as well as downstream applications such as ecosystem conservation and flood control. Recently, data-driven machine learning (ML) techniques showed seemingly i... ver más
Revista: Water