A Memetic Algorithm to Solve the Dynamic Multiple Runway Aircraft Landing Problem
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Bencheikh, Ghizlane (Author) |
| مؤلفين آخرين: | Boukachour, Jaouad (Co-Author), Alaoui, Ahmed El Hilali (Co-Author) |
| المجلد/العدد: | مج28, ع1 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2016
|
| الصفحات: | 98 - 109 |
| DOI: |
10.33948/0584-028-001-008 |
| ISSN: |
1319-1578 |
| رقم MD: | 973814 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Dynamic Aircraft Landing Problem | Ant Colony Optimization | Local Search | Metaheuristics
|
| رابط المحتوى: |
| المستخلص: |
The aircraft landing problem (ALP) consists of scheduling the landing of aircrafts onto the available runways in an airport by assigning to each aircraft a landing time and a specific runway while respecting different operational constraints. This is a complex task for the air traffic controller, especially when the flow of aircrafts entering the radar range is continuous and the number of aircrafts is unknown a priori. In this paper, we study the dynamic version of the ALP when new aircrafts appear over time, which means that the landing of the previous aircrafts should be rescheduled. To solve this problem, we propose a memetic algorithm combining an ant colony algorithm and a local heuristic. |
|---|---|
| ISSN: |
1319-1578 |
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