Titlebook: New Trends in Emerging Complex Real Life Problems; ODS, Taormina, Italy Patrizia Daniele,Laura Scrimali Book 2018 Springer Nature Switzerla

recede

Data Throughput Optimization for Vehicle to Infrastructure Communications, small cells enabling potential uses such as driver-less cars, ultra-high-definition infotainment services and data backhauling. In this context, in alternative to fiber-based and legacy wireless-based backhauling, vehicles can be used as digital mules to increase the data throughput of a region ser

Occupation

Evaluation of Cascade Effects for Transit Networks,y. The key element of a cascade is time: as time passes by, more locations or connections of the transit network which are nodes and edges of the associated graph can be affected consecutively as well as change their own condition. Thus, modifications in terms of efficiency and resilience are also d

分解

大约冬季

残忍

A Two-Stage Stochastic Model for Distribution Logistics with Transshipment and Backordering: Stochaargue that it is NP-hard. Then, we perform a computational analysis based on a distribution network. In the case with two retailers, we show that modeling uncertainty with a stochastic program leads to better solutions with respect to the ones provided by the deterministic program, especially if lim

北京人起源

An Optimization Model to Rationalize Public Service Facilities,ilities to be located in a given area. In the last years, due to the general interest to reduce costs and improve efficiency, several works focused on problems aimed at modifying the territorial configuration of existing facilities, in terms of number, position and/or capacities, etc. In this work,

镇压

An Efficient and Simple Approach to Solve a Distribution Problem,the problem of selecting a given number of warehouses among a set of candidate ones, assigning each customer to one or more of the selected warehouses while minimizing costs. We present a mixed integer formulation of the problem of minimizing the sum of the total transportation costs and of the fixe

精致

Mawkish

Monte Carlo Sampling for the Probabilistic Orienteering Problem,tion, the calculation of the objective function value is complex since there is no linear expression for the expected total cost. In this work we approximate the objective function value with a Monte Carlo Sampling technique and present a computational study about precision and speed of such a metho

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