| Article ID: | iaor20083265 |
| Country: | Germany |
| Volume: | 155 |
| Issue: | 1 |
| Start Page Number: | 311 |
| End Page Number: | 338 |
| Publication Date: | Nov 2007 |
| Journal: | Annals of Operations Research |
| Authors: | Teodorovi Duan, Lui Panta |
| Keywords: | personnel & manpower planning, heuristics: tabu search, optimization: simulated annealing, heuristics: genetic algorithms |
The solution of the aircrew-scheduling problem is represented by a set of rotations developed from a given set of flight segments. Once the set of rotations to be made by aircrew members has been determined, the air carrier must solve the aircrew rostering problem that entails the monthly assignment of aircrew members to planned rotations. This paper attempts to solve the aircrew rostering problem, thus constructing personalized monthly schedules using Simulated Annealing, Genetic Algorithms, and Tabu Search techniques. The developed models are tested on numerical examples that consist of constructing schedules for pilots. Dimensions of the considered examples are characteristic of small and medium-sized airlines.