Ant colony optimization-based algorithm for airline crew scheduling problem

2011 ◽  
Vol 38 (5) ◽  
pp. 5787-5793 ◽  
Author(s):  
Guang-Feng Deng ◽  
Woo-Tsong Lin
2014 ◽  
Vol 5 (2) ◽  
pp. 62-73 ◽  
Author(s):  
Omar Ezzinbi ◽  
Malek Sarhani ◽  
Abdellatif El Afia ◽  
Youssef Benadada

This study formulates an innovative aircraft preventive maintenance model by taking into account the aircraft on ground (AOG) problem. The proposed model is solved by using binary particle swarm optimization (BPSO) and Genetic Algorithm (GA). It also proposes a methodology solution based on BPSO and GA to solve the airline crew scheduling problem. Additionally, a study of computational results is given to improve the quality of the solutions and the performance of the proposed algorithms.


1979 ◽  
Vol 11 (2) ◽  
pp. 79-85 ◽  
Author(s):  
Edward K. Baker ◽  
Lawrence D. Bodin ◽  
William F. Finnegan ◽  
Ronny J. Ponder

1998 ◽  
Vol 32 (3) ◽  
pp. 232-245 ◽  
Author(s):  
Mirela Stojković ◽  
François Soumis ◽  
Jacques Desrosiers

Sign in / Sign up

Export Citation Format

Share Document