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.
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Communication dans un congrès
WSC 2017, Winter Simulation Conference, Dec 2017, Las Vegas, United States. ACM, pp. 2626-2637, 2017, Winter Simulation Conference, Part F134102
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Paolo 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. ACM, pp. 2626-2637, 2017, Winter Simulation Conference, Part F134102. 〈hal-01658763〉

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