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Dive into the research topics where Catherine Mancel is active.

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Featured researches published by Catherine Mancel.


Journal of the Operational Research Society | 2013

A heuristic approach based on shortest path problems for integrated flight, aircraft, and passenger rescheduling under disruptions

Nicolas Jozefowiez; Catherine Mancel; Felix Antonio Claudio Mora-Camino

In this paper, we present a heuristic method to solve an airline disruption management problem arising from the ROADEF 2009 challenge. Disruptions perturb an initial flight plan such that some passengers cannot start or conclude their planned trip. The developed algorithm considers passengers and aircraft with the same priority by reassigning passengers and by creating a limited number of flights. The aim is to minimize the cost induced for the airline by the recovery from the disruptions. The algorithm is tested on real-life-based data, as well as on large-scale instances and ranks among the best methods proposed to the challenge in terms of quality, while being efficient in terms of computation time.


intelligent tutoring systems | 2015

3D airspace sector design by genetic algorithm

Marina Sergeeva; Daniel Delahaye; Catherine Mancel

In recent years, special interest has been paid to the solution of sector design problem. The airspace is partitioned into sectors, each of them being controlled by a group of controllers. Airspace sectors should be designed cautiously, ensuring that no sector would be overloaded during the day. The objective of an airspace design process is to adapt the airspace according to the evolution of the traffic. The aim of the presented work is to propose a new global method for the sectorization of the European airspace based on a novel mathematical modeling of the airspace and heuristic optimization methods. The main purpose of this research is to develop a method for automatic airspace sectorization, which would be able to create operationally acceptable sectors.


Inverse Problems in Science and Engineering | 2009

A two level optimization approach for long-term planning in a large air transportation network

Amadou Handou; Aïcha Alou Oumarou; Catherine Mancel; Felix Antonio Claudio Mora-Camino

In this communication, the problem of long-term forecasting of the traffic growth in a large air transportation network is considered. This problem is crucial when planning the necessary investments in airports, fleets and air traffic control equipments. The resulting optimization problem is a multilevel one. The proposed approach makes use of two different optimization models: One model is devoted to demand forecasting, while the other defines the air transport supply according to a profit maximization behaviour of the airlines sector. The proposed solution scheme is composed of an iterative process between the current solutions of the demand and the supply optimization problems. Convergence conditions are discussed for this iterative process between these two problems which can be seen as inverse of each other. The proposed optimization approach is briefly illustrated in the case of the long-term forecasting of air traffic in the West Africa region.


canadian conference on artificial intelligence | 2017

Knowledge Discovery in Graphs Through Vertex Separation

Marc Sarfati; Marc Queudot; Catherine Mancel; Marie-Jean Meurs

This paper presents our ongoing work on the Vertex Separator Problem (VSP), and its application to knowledge discovery in graphs representing real data. The classic VSP is modeled as an integer linear program. We propose several variants to adapt this model to graphs with various properties. To evaluate the relevance of our approach on real data, we created two graphs of different size from the IMDb database. The model was applied to the separation of these graphs. The results demonstrate how the model is able to semantically separate graphs into clusters.


12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2008

Optimal Allocation of Transportation Aircraft Actuators During Maneuver

Geanina Andrei; Catherine Mancel; Felix Antonio Claudio Mora-Camino

In this communication we consider the problem of the design of an airborne system whose function is to solve the problem of allocation of transportation aircraft actuators during manoeuvres. The case of a roll manoeuvre, which may be quite demanding for the wings structure, is more particularly considered. The aim of this supervision function, similar to the load alleviation function, is to control the bending and flexion moments of the wings while performing a manoeuvre which can turn to be extreme. The wings actuators considered are the ailerons, the spoilers and the flaps, but the other aerodynamic actuators, elevators and rudders, must be considered to take into account the existing coupling effects between the three body axis. Their limitations, such as position, speed and response time are considered explicitly in this study.


Journal of traffic and transportation engineering | 2017

Dynamic airspace configuration by genetic algorithm

Marina Sergeeva; Daniel Delahaye; Catherine Mancel; Andrija Vidosavljevic


Journal of The Brazilian Air Transportation Research Society | 2010

PRICING OF ATC/ATM SERVICES THROUGH BILEVEL PROGRAMMING APPROACHES

Rabah Guettaf; Catherine Mancel; Moussa Larbani; Felix Antonio Claudio Mora-Camino


EngOpt 2008, International Conference on Engineering Optimization | 2008

An Optimization Approach for Long Term Planning of Multimodal Freight Transportation Systems

Marcella Autran; Burlier Drummond; Catherine Mancel; Amaranto Lopes Pereira; Felix Antonio Claudio Mora-Camino


Archive | 2015

A Passenger Recovery Approach for Airline Disruption Management

Rodrigo Acuna-Agost; Catherine Mancel; Mourad Boudia; Nicolas Jozefowiez


IEEE Transactions on Intelligent Transportation Systems | 2015

Dynamic Airspace Configuration based on Artificial Evolution

Marina Sergeeva; Daniel Delahaye; Andrija Vidosavljevic; Catherine Mancel

Collaboration


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Felix Antonio Claudio Mora-Camino

École nationale de l'aviation civile

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Daniel Delahaye

École nationale de l'aviation civile

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Marina Sergeeva

École nationale de l'aviation civile

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Geanina Andrei

École nationale de l'aviation civile

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Andrija Vidosavljevic

École nationale de l'aviation civile

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Aïcha Alou Oumarou

École nationale de l'aviation civile

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Amaranto Lopes Pereira

Federal University of Rio de Janeiro

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Salma Fitouri-Trabelsi

École nationale de l'aviation civile

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