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| Titel: |
Optimization of airport ground operations integrating genetic and dynamic flow management algorithms |
| Auteur: |
Jesús García Antonio Berlanga José M. Molina José R. Casar |
| Verschenen in: |
AI communications |
| Paginering: | Jaargang 18 (2005) nr. 2 pagina's 143-164 |
| Jaar: |
2005-09-07 |
| Inhoud: |
This paper1 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. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 5 van 14 gevonden artikelen
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