Salvador Pineda,Juan Miguel Morales,Asunción Jiménez-Cordero
Salvador Pineda
The design of new strategies that exploit methods from machine learning to facilitate the resolution of challenging and large-scale mathematical optimization problems has recently become an avenue of prolific and promising research. In this...
Stathis Chadjiconstantinidis,Altan Tuncel,Serkan Eryilmaz
Stathis Chadjiconstantinidis
In this paper, reliability properties of a system that is subject to a sequence of shocks are investigated under a particular new change point model. According to the model, a change in the distribution of the shock magnitudes occurs upon t...
Emilio Carrizosa,Cristina Molero-Río,Dolores Romero Morales
Emilio Carrizosa
Classification and regression trees, as well as their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization and the Mixed-Integer Linear Optimization paradi...
Mathematical optimization models for reallocating and sharing health equipment in pandemic situations [0.03%]
用于流行病期间重新分配和共享医疗设备的数学优化模型
Víctor Blanco,Ricardo Gázquez,Marina Leal
Víctor Blanco
In this paper we provide a mathematical programming based decision tool to optimally reallocate and share equipment between different units to efficiently equip hospitals in pandemic emergency situations under lack of resources. The approac...
Cutting uncertain stock and vehicle routing in a sustainability forestry harvesting problem [0.03%]
可持续林业采伐问题中的不确定库存和车辆路由削减问题
Adejuyigbe O Fajemisin,Steven D Prestwich,Laura Climent
Adejuyigbe O Fajemisin
Sustainable forest management is concerned with the management of forests according to the principles of sustainable development. As a contribution to the field, this paper combines the Vehicle Routing Problem (VRP) (in which the vehicles a...