D. Delahaye

Yanjun Wang, Ying Zhou, Daniel Delahaye, 2020, 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT).

Strategic Planning of Efficient Oceanic Flights

Banavar Sridhar, Daniel Delahaye, Olga K. Rodionova, 2015 .

Approach and Landing Aircraft On-Board Parameters Estimation with LSTM Networks

Gabriel Jarry, Daniel Delahaye, Eric Feron, 2020, 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT).

Optimal location of temporary military zones within civil aviation traffic

Alexandre Gondran, Marcel Mongeau, Daniel Delahaye, 2017 .

Air-traffic conflict resolution via B-splines and semi-infinite programming

Marcel Mongeau, Daniel Delahaye, Clément Peyronne, 2012 .

Optimizing B-splines using Genetic Algorithms Applied to Air-traffic Conflict Resolution

Marcel Mongeau, Daniel Delahaye, Laurent Lapasset, 2010, IJCCI.

Air traffic conflict resolution via B-splines and genetic algorithms

Marcel Mongeau, Daniel Delahaye, Clément Peyronne, 2010 .

A New Genetic Algorithms Working on State Domain Order Statistics

Daniel Delahaye, Stéphane Puechmorel, S. Puechmorel, 2000, PPSN.

Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation

S. Alam, D. Delahaye, Supatcha Chaimatanan, 2022, Journal of Aerospace Information Systems.

Airspace congestion smoothing by multi-objective genetic algorithm

Daniel Delahaye, Stéphane Puechmorel, Sofiane Oussedik, 2005, SAC '05.

Reduction of Air Traffic Congestion by Genetic Algorithms

Daniel Delahaye, Sofiane Oussedik, S. Oussedik, 1998, PPSN.

Airspace Congestion Smoothing by Stochastic Optimization

Amedeo R. Odoni, Daniel Delahaye, A. Odoni, 1997, Evolutionary Programming.

Sequencing Aircraft Landings by Genetic Algorithms

Daniel Delahaye, Sofiane Oussedik, Alexis Guigue, 1999, GECCO.

A light-propagation model for aircraft trajectory planning

Marcel Mongeau, Daniel Delahaye, Stéphane Puechmorel, 2012, Journal of Global Optimization.

Simulated Annealing: From Basics to Applications

Marcel Mongeau, Daniel Delahaye, Supatcha Chaimatanan, 2018, Handbook of Metaheuristics.

Fluvial geomorphology and flood-risk management

D. Delahaye, H. Piégay, E. Gautier, 2009 .

Quantification of the Normandy and Picardy chalk cliff retreat by photogrammetric analysis

D. Delahaye, S. Costa, R. Davidson, 2004, Geological Society, London, Engineering Geology Special Publications.

Order Statistics in Artificial Evolution

Daniel Delahaye, Stéphane Puechmorel, S. Puechmorel, 2003, Artificial Evolution.

The anthropogenic nature of present-day low energy rivers in western France and implications for current restoration projects

D. Delahaye, A. Rollet, V. Viel, 2015 .

(EN-023) Mathematical Models for Aircraft Trajectory Design : A Survey.

Daniel Delahaye, Stéphane Puechmorel, Eric Feron, 2013 .

Complexity Optimal Air Traffic Assignment for Multi-Layer Transport Network in Urban Air Mobility Operations

S. Alam, D. Delahaye, J. Farges, 2022, SSRN Electronic Journal.

Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data pdf

Daniel Delahaye, Eric Feron, Philippe Monmousseau, 2020, ArXiv.

Real-time Fault Detection on Small Fixed-Wing UAVs using Machine Learning

Daniel Delahaye, Elgiz Baskaya, Murat Bronz, 2020, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC).

Air Traffic Assignment for Intensive Urban Air Mobility Operations

S. Alam, D. Delahaye, J. Farges, 2021, Journal of Aerospace Information Systems.

Simulation-Free Runway Balancing Optimization Under Uncertainty Using Neural Network

Ryota Mori, Daniel Delahaye, D. Delahaye, 2019 .

Coordinated Sequencing of Traffic on Multiple En-Route Constraint Points

Daniel Delahaye, Philippe Notry, Souleymanou Abba-Rapaya, 2019, Lecture Notes in Electrical Engineering.

Optimization of military missions impact on civilian 4D trajectories

Daniel Delahaye, Supatcha Chaimatanan, Arianit Islami, 2017 .

Anthropogenic Fires in West African Landscapes: A Spatially Explicit Model Perspective of Humanized Savannas

D. Delahaye, C. Fleurant, P. Laris, 2020, Fire.

A Queuing Network Model of a Multi-Airport System Based on Point-Wise Stationary Approximation

D. Delahaye, Lishuai Li, Xifan Zhao, 2022, Aerospace.

Aircraft trajectory forecasting using local functional regression in Sobolev space

Daniel Delahaye, Stéphane Puechmorel, Kairat Tastambekov, 2014 .

How might sediment connectivity change in space and time?

D. Delahaye, É. Cossart, M. Fressard, 2018, Land Degradation & Development.

A Combined MRI Biomarker Approach Using a Non-Standard Multiple Factor Analysis

Daniel Delahaye, Stéphane Puechmorel, Pierre Maréchal, 2018, 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Interactive trajectory modification and generation with FPCA

Gabriel Jarry, Daniel Delahaye, Hassoumi Almoctar, 2020, CEAS Aeronautical Journal.

Order statistics and region-based evolutionary computation

Daniel Delahaye, Stéphane Puechmorel, S. Puechmorel, 2014, J. Glob. Optim..

No more conflicts: the development of a generic airport model in a sequence-optimization framework

Daniel Delahaye, Miguel Mujica Mota, Paolo Scala, 2016 .

Air Traffic Management during Rare Events Such as a Pandemic: Paris Charles de Gaulle Case Study

D. Delahaye, P. Scala, Miguel Mujica Mota, 2021, Aerospace.

Airport Gate Scheduling for Passengers, Aircraft, and Operation pdf

John-Paul Clarke, Daniel Delahaye, Sang Hyun Kim, 2013, ArXiv.

Optimization-Based Design of Departure and Arrival Routes in Terminal Maneuvering Area

Sonia Cafieri, Jun Zhou, Daniel Delahaye, 2017 .

Optimizing the Design of a Route in Terminal Maneuvering Area Using Branch and Bound

Jun Zhou, Sonia Cafieri, Daniel Delahaye, 2017 .

Aircraft Trajectory Planning with Dynamical Obstacles by Artificial Evolution and Convex Hull Generations

Sonia Cafieri, Daniel Delahaye, S. Pierre, 2017 .

Optimal design of SIDs/STARs in TMA using simulated annealing

Jun Zhou, Sonia Cafieri, Daniel Delahaye, 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

A Hybrid Metaheuristic Optimization Algorithm for Strategic Planning of 4D Aircraft Trajectories at the Continental Scale

Marcel Mongeau, Daniel Delahaye, Supatcha Chaimatanan, 2014, IEEE Computational Intelligence Magazine.

Optimization of Arrival and Departure Routes in Terminal Maneuvering Area

Sonia Cafieri, Daniel Delahaye, Mohammed Sbihi, 2014 .

Implementation of an Optimization and Simulation-Based Approach for Detecting and Resolving Conflicts at Airports

Daniel Delahaye, Miguel Mujica Mota, Paolo Scala, 2018, Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016.

A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem pdf

Daniel Delahaye, Luca Mossina, Emmanuel Rachelson, 2019, ArXiv.

Classification of Multiple Sclerosis patients using a histogram-based K-Nearest Neighbors algorithm

Daniel Delahaye, Stéphane Puechmorel, Pierre Maréchal, 2019 .

Characterization of Real Multi-Correlator Outputs for SQM Performance Evaluation

D. Delahaye, C. Macabiau, P. Thevenon, 2022, The International Technical Meeting of the The Institute of Navigation.

Departure and Arrival Routes Optimization Near Large Airports

Daniel Delahaye, Mohammed Sbihi, Pierre Maréchal, 2019, Aerospace.

Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties

Phu N. Tran, S. Alam, V. Duong, 2022, Transportation Research Part C: Emerging Technologies.

Solving air traffic conflict problems via local continuous optimization

Marcel Mongeau, Daniel Delahaye, Andrew R. Conn, 2015, Eur. J. Oper. Res..

Fluvial geomorphology and flood-risk management Géomorphologie fluviale et gestion des risques fluviaux

D. Delahaye, H. Piégay, E. Gautier, 2009 .

Wind Field Evaluation by Using Onboard Aircraft Measurements and Vector Spline Interpolation

Christophe Rabut, Daniel Delahaye, Stéphane Puechmorel, 2011 .

Recognition of Outlying Driving Behaviors: A Data-Driven Perspective with Applications to V2X Collective Perception

Thinh Hoang Dinh, D. Delahaye, Vincent Martinez, 2021, 2021 IEEE Vehicular Networking Conference (VNC).

Geomorphology: from expert opinion to modelling.

D. Delahaye, O. Maquaire, F. Levoy, 2002 .

A simulated annealing approach to 3D strategic aircraft deconfliction based on en-route speed changes under wind and temperature uncertainties

Daniel Delahaye, Manuel Soler, Valentin Courchelle, 2019, Transportation Research Part C: Emerging Technologies.

Integrated sequencing and merging aircraft to parallel runways with automated conflict resolution and advanced avionics capabilities

Daniel Delahaye, Man Liang, Pierre Maréchal, 2017 .

Multi-level optimization strategy for the prevention of run-off risks

A. Alimi, D. Delahaye, W. Jaziri, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Multi-Objective Cooperated Path Planning of Multiple Unmanned Aerial Vehicles Based on Revisit Time

Daniel Delahaye, Davood Asadi, Hassan Haghighi, 2021, Journal of Aerospace Information Systems.

Applying Bayesian inference in a hybrid CNN-LSTM model for time-series prediction

D. Delahaye, A. Vidosavljevic, Pierre Maréchal, 2022, 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).

Distribution Prediction of Strategic Flight Delays via Machine Learning Methods

M. Hansen, D. Delahaye, Lishuai Li, 2022, Sustainability.

Modeling Flight Delay Propagation in Airport and Airspace Network

Daniel Delahaye, Minghua Hu, Wei Cong, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Predicting and Analyzing US Air Traffic Delays using Passenger-centric Data-sources

Daniel Delahaye, Eric Feron, Philippe Monmousseau, 2019 .

Optimising security screening resources during airport access mode disruptions

E. Feron, D. Delahaye, C. Mancel, 2023 .

Vision-Based Spacecraft Pose Estimation via a Deep Convolutional Neural Network for Noncooperative Docking Operations

Daniel Delahaye, Pisit Boonsrimuang, Utane Sawangwit, 2020, Aerospace.

Automated data-driven prediction on aircraft Estimated Time of Arrival

Daniel Delahaye, Man Liang, Zhengyi Wang, 2018, Journal of Air Transport Management.

Short-term 4D Trajectory Prediction Using Machine Learning Methods

Daniel Delahaye, Man Liang, Zhengyi Wang, 2017 .

Synchronised demand-capacity balancing in collaborative air traffic flow management

Xavier Prats, Daniel Delahaye, Yan Xu, 2020 .

A probabilistic model based optimization for aircraft scheduling in terminal area under uncertainty

D. Delahaye, M. Sbihi, Ying Huo, 2021, Transportation Research Part C: Emerging Technologies.

A Year Into the Pandemic: a Passenger Perspective on its Impact at Paris-Charles de Gaulle Airport

E. Feron, A. Marzuoli, D. Delahaye, 2021, 2021 IEEE International Conference on Big Data (Big Data).

The Impact of Automation on Air Traffic Controller’s Behaviors

D. Delahaye, M. Schultz, Yanjun Wang, 2021, Aerospace.

Dynamic airspace configuration by genetic algorithm

Daniel Delahaye, Catherine Mancel, Andrija Vidosavljevic, 2017 .

Hybrid metaheuristic for air traffic management with uncertainty

Marcel Mongeau, Daniel Delahaye, Supatcha Chaimatanan, 2017 .

Large-Scale 4D Trajectory Planning

Daniel Delahaye, Supatcha Chaimatanan, Arianit Islami, 2017 .

Optimization of departure runway scheduling incorporating arrival crossings

Ji Ma, Daniel Delahaye, Mohammed Sbihi, 2019, Int. Trans. Oper. Res..

An Accelerated Dual Fast Marching Tree Applied to Emergency Geometric Trajectory Generation

E. Feron, D. Delahaye, Andréas Guitart, 2022, Aerospace.

Air traffic complexity based on dynamical systems

Daniel Delahaye, Stéphane Puechmorel, S. Puechmorel, 2010, 49th IEEE Conference on Decision and Control (CDC).

Conclusion and Future Perspectives

Daniel Delahaye, Stéphane Puechmorel, S. Puechmorel, 2013 .

Wind-optimal path planning: Application to aircraft trajectories

Christophe Rabut, Daniel Delahaye, Laurent Lapasset, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

On the Use of Generative Adversarial Networks for Aircraft Trajectory Generation and Atypical Approach Detection

Daniel Delahaye, Nicolas Couellan, Gabriel Jarry, 2019, Lecture Notes in Electrical Engineering.

Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data

Daniel Delahaye, Philippe Monmousseau, Aude Marzuoli, 2021, ArXiv.

Aircraft atypical approach detection using functional principal component analysis

Daniel Delahaye, Gabriel Jarry, Florence Nicol, 2018, Journal of Air Transport Management.

SCALES: a large‐scale assessment model of soil erosion hazard in Basse‐Normandie (northern‐western France)

D. Delahaye, J. Douvinet, V. Viel, 2010 .

Holistic Approach for Aircraft Trajectory Optimization Using Optimal Control

M. Mongeau, D. Delahaye, A. Vidosavljevic, 2023, Journal of Aircraft.

Predicting Passenger Flow at Charles De Gaulle Airport Security Checkpoints

Gabriel Jarry, Daniel Delahaye, Philippe Monmousseau, 2020, 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT).

Air Traffic Controller Keyboard Optimization by Artificial Evolution

S. Puechmorel, D. Delahaye, 2003, Artificial Evolution.

Flights Alternative Routes Generator by Genetic Algorithms

Daniel Delahaye, Sofiane Oussedik, Marc Schoenauer, 2000 .

Performance-based emergency landing trajectory planning applying meta-heuristic and Dubins paths

D. Delahaye, D. Asadi, Hassan Haghighi, 2022, Appl. Soft Comput..

Aircraft trajectory planning under wind uncertainties

Daniel Delahaye, K. Legrand, S. Puechmorel, 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

General Extremal Field Method for Time-Optimal Trajectory Planning in Flow Fields

D. Delahaye, J. Moschetta, A. Drouin, 2023, IEEE Control Systems Letters.

Light Propagation algorithm for aircraft trajectory planning

Marcel Mongeau, Daniel Delahaye, Stephane Puechmorel, 2011, Proceedings of the 2011 American Control Conference.

Genetic algorithms for partitioning air space

Marc Schoenauer, Jean-Loup Farges, Daniel Delahaye, 1994, Proceedings of the Tenth Conference on Artificial Intelligence for Applications.

Predicting Passenger Flow at Charles De Gaulle Airport using Dense Neural Networks

E. Feron, S. Alam, D. Delahaye, 2023 .

A Hybrid Metaheuristic Optimization Algorithm for Strategic Planning of 4D Aircraft Trajectories at the Continental Scale

M. Mongeau, D. Delahaye, S. Chaimatanan, 2014, IEEE Computational Intelligence Magazine.

Evaluation of slopes delivery to catchment sediment budget for a low‐energy water system: a case study from the lingèvres catchment (normandy, western france)

D. Delahaye, Romain Reulier, Vincent Viel, 2014 .

Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem

Alexandre Gondran, Marcel Mongeau, Daniel Delahaye, 2018, Journal of Air Transportation.

Air traffic complexity based on non linear dynamical systems

Jonathan Histon, Daniel Delahaye, Stéphane Puechmorel, 2003 .

Analysis of spatial interactions in the run-off process

P. Langlois, D. Delahaye, Yves Guermond, 2002 .

Airspace sectoring by evolutionary computation

Marc Schoenauer, Daniel Delahaye, Jean-Marc Alliot, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Agent-Based Modelling of the Evolution of Hydro-Sedimentary Connectivity: The Case of Flash Floods on Arable Plateaus

D. Delahaye, Romain Reulier, Mahefa Mamy Rakotoarisoa, 2023, Applied Sciences.