Safe and secure vehicle routing: a survey on minimization of risk exposure [0.03%]
安全可控的车辆路径规划：最小化风险暴露综述
Georg E A Fröhlich,Margaretha Gansterer,Karl F Doerner
Georg E A Fröhlich
Safe and secure vehicle routing problems refer to the transportation of dangerous (e.g., flammable liquids) or valuable goods (e.g., cash), the surveillance of streets (e.g., police patrols) or other areas (e.g., those within a factory or b...
Nonlinear time-series forecasts for decision support: short-term demand for ICU beds in Santiago, Chile, during the 2021 COVID-19 pandemic [0.03%]
非线性时间序列预测在决策支持中的应用：2021年新冠疫情期间智利圣地亚哥ICU床位的短期需求预测
Bernardo F Quiroga,Cristián Vásquez,M Ignacia Vicuña
Bernardo F Quiroga
In Chile, due to the explosive increase of new Coronavirus disease 2019 (COVID-19) cases during the first part of 2021, the ability of health services to accommodate new incoming cases was jeopardized. It has become necessary to be able to ...
Dynamic string-averaging CQ-methods for the split feasibility problem with percentage violation constraints arising in radiation therapy treatment planning [0.03%]
求解放射治疗计划中带有违反约束百分比的分裂可行性问题的动力字符串平均CQ方法
Mark Brooke,Yair Censor,Aviv Gibali
Mark Brooke
We study a feasibility-seeking problem with percentage violation constraints (PVCs). These are additional constraints that are appended to an existing family of constraints, which single out certain subsets of the existing constraints and d...
Managing bank performance under COVID-19: A novel inverse DEA efficiency approach [0.03%]
COVID-19下银行绩效管理的新型逆向DEA效率方法研究
Sabri Boubaker,Tu D Q Le,Thanh Ngo
Sabri Boubaker
The evolution of the COVID-19 pandemic is highly unpredictable; however, its impacts are limited to neither a single sector nor a single country. This study evaluates the performance and efficiency of 49 Islamic banks across 10 countries du...
On the optimal layout of a dining room in the era of COVID-19 using mathematical optimization [0.03%]
基于数学优化的新冠肺炎疫情下的餐厅就餐座位最优布局研究
Claudio Contardo,Luciano Costa
Claudio Contardo
We consider the problem of maximizing the number of people that a dining room can accommodate provided that the chairs belonging to different tables are socially distant. We introduce an optimization model that incorporates several characte...
Modeling of Covid-19 trade measures on essential products: a multiproduct, multicountry spatial price equilibrium framework [0.03%]
新冠疫情下医药产品贸易模型——多产品、多国家空间价格均衡框架
Anna Nagurney,Mojtaba Salarpour,June Dong
Anna Nagurney
In this paper, we develop a unified variational inequality framework in the context of spatial price network equilibrium problems that handles multiple products with multiple demand and supply markets in multiple countries as well as multip...
A light-touch routing optimization tool (RoOT) for vaccine and medical supply distribution in Mozambique [0.03%]
莫桑比克疫苗和医疗用品分配的轻量级路由优化工具(RoOT)
Larissa P G Petroianu,Zelda B Zabinsky,Mariam Zameer et al.
Larissa P G Petroianu et al.
Planning vaccine distribution in rural and urban poor communities is challenging, due in part to inadequate vehicles, limited cold storage, road availability, and weather conditions. The University of Washington and VillageReach jointly dev...
Integrated bus transit scheduling for the Beijing bus group based on a unified mode of operation [0.03%]
基于统一营运模式的北京公交集团联运调度集成方法研究
Yindong Shen,Jiahong Xia
Yindong Shen
This paper presents an applied study of scheduling buses and drivers for the Beijing Bus Group (BJBUS), the largest bus company in China. This is pioneering research in China for bus transit scheduling using computers based on a unified mod...
Perturbation-resilient block-iterative projection methods with application to image reconstruction from projections [0.03%]
具有抵抗扰动的块迭代投影方法及其在从投影重建图像中的应用
R Davidi,G T Herman,Y Censor
R Davidi
A block-iterative projection algorithm for solving the consistent convex feasibility problem in a finite-dimensional Euclidean space that is resilient to bounded and summable perturbations (in the sense that convergence to a feasible point ...
Yair Censor,Alexander Segal
Yair Censor
We study the common fixed point problem for the class of directed operators. This class is important because many commonly used nonlinear operators in convex optimization belong to it. We propose a definition of sparseness of a family of op...