Skip to Main content Skip to Navigation
Conference papers

A down to earth solution: applying a robust simulation-optimization approach to resolve aviation problems

Abstract : This paper deals with the improvement of the robustness of heuristic solutions for aviation systems affected by uncertainty when the resolution of conflicts is implemented. A framework that includes the use of optimization and simulation is described which in turn generates pseudo-optimal schedules. The initial solution is progressively improved by iteratively evaluating the uncertainty in the generated solutions and calibrating in accordance with the objective function. Simulation is used for testing the feasibility of a solution generated by an optimization algorithm in an environment characterized by uncertainty. The results show that the methodology is able to improve solutions for the scenarios with uncertainty, thus making them excellent candidates for being implemented in real environments.
Document type :
Conference papers
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal-enac.archives-ouvertes.fr/hal-01658763
Contributor : Laurence Porte <>
Submitted on : Thursday, December 7, 2017 - 6:02:11 PM
Last modification on : Thursday, July 23, 2020 - 7:24:02 PM

File

wsc17paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01658763, version 1

Collections

Citation

Paolo Maria Scala, Daniel Delahaye, Miguel Mujica. A down to earth solution: applying a robust simulation-optimization approach to resolve aviation problems. WSC 2017, Winter Simulation Conference, Dec 2017, Las Vegas, United States. pp. 2626-2637. ⟨hal-01658763⟩

Share

Metrics

Record views

192

Files downloads

201