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
Methods for Operations Planning in Airport Decision Support Systems
Applied Intelligence
Journal of Artificial Intelligence Research
Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies
Advanced Engineering Informatics
| Hi-index | 0.00 |
This paper 1 presents a new method for automatically finding the best routes and schedules for airport ground operations within a decision support system for tower controllers, a hard real-world application. It explores the potential advantages of hybridizing two complementary types of algorithmic approaches to find solutions as fast as possible: a genetic algorithm and a time-space dynamic flow management algorithm. An integrated system to combine the strengths of each algorithm and exploit their complementary nature has been analyzed. The proposed flow-management algorithm deterministically optimizes an over-simplified problem, while the genetic algorithm is able to search within a more realistic representation of the real problem, but success is not always guaranteed if the search space grows. The performance of this combination is illustrated using simulated samples of a real-world scenario: ground operations at Madrid Barajas International Airport.