Infoscience

Conference paper

Optimization of Uncertainty Features for Transportation Problems

In this work we present the concept of Uncertainty Feature Optimization (UFO), an optimization framework to handle problems due to noisy data. We show that UFO is an extension of standard methods as robust optimization and stochastic optimization and we show that the method can be used when no information of the data uncertainty sets is available. We present a proof of concept for the multiple knapsack problem and we show applications to some routing problems: vehicle routing with stochastic demands and airline scheduling.

    Reference

    • TRANSP-OR-CONF-2006-079

    Record created on 2009-06-15, modified on 2016-09-16

Fulltext

  • There is no available fulltext. Please contact the lab or the authors.

Related material