43 citations · 44 across the 4 of their papers we have counts for
4 papers
Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data
Philippe Monmousseau, Aude Marzuoli, Eric Feron +1
Improving the passenger air travel experience is one of the explicit goals set by the Next Generation Air Transportation System in the United States and by the Advisory Council for…
Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
Philippe Monmousseau, Aude Marzuoli, Eric Feron +1
This paper aims at analyzing the effect on the US air transportation system of the travel restriction measures implemented during the COVID-19 pandemic from a passenger perspective…
A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem
Luca Mossina, Emmanuel Rachelson, Daniel Delahaye
We study how Reinforcement Learning can be employed to optimally control parameters in evolutionary algorithms. We control the mutation probability of a (1+1) evolutionary algorith…
Airport Gate Scheduling for Passengers, Aircraft, and Operation
Sang Hyun Kim, Eric Feron, John-Paul Clarke +2
Passengers' experience is becoming a key metric to evaluate the air transportation system's performance. Efficient and robust tools to handle airport operations are needed along wi…