Linear programming and network flows (2nd ed.)
Linear programming and network flows (2nd ed.)
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evaluation of runway-assignment and aircraft-sequencing algorithms in terminal area automation
The Lincoln Laboratory Journal - Special issue on air traffic control
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Nets Trained by Genetic Algorithms for Collision Avoidance
Applied Intelligence
Reduction of Air Traffic Congestion by Genetic Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
The Multiple Connections Multi-Airport Ground Holding Problem: Models and Algorithms
Transportation Science
Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies
Advanced Engineering Informatics
Self Organized Dynamic Tree Neural Network
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Extending the RCPSP for modeling and solving disruption management problems
Applied Intelligence
Enhanced self organized dynamic tree neural network
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
A universal planning system for hybrid domains
Applied Intelligence
| Hi-index | 0.00 |
Simulation and decision support tools can help airport ground controllers to improve surface operations and safety, leading to enhancements in the process of traffic flow management. In this paper, two planning approaches for automatically finding the best routes and sequences for demanded operations are proposed and analyzed. These approaches are integrated into a general decision support system architecture. The problem addressed is the global management of departure operations, moving aircraft along airport taxiways between gate positions and runways. Two global optimization approaches have been developed together with a suitable problem representation: a modified time-space flow algorithm and a genetic algorithm, both aimed at minimizing the total ground delay. The capability and performance of these planning techniques have been illustrated on simulated samples of ground operations at Madrid Barajas International Airport.