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
Keyword(s):  
Ant Colony Optimization ◽  
Crew Scheduling ◽  
Ant Colony ◽  
Scheduling Problem ◽  
Airline Crew Scheduling ◽  
Airline Crew ◽  
Crew Scheduling Problem

Preventive Maintenance with Aircraft on Ground Case Consideration, and Airline Crew Scheduling Problem

2014 ◽  
Vol 5 (2) ◽  
pp. 62-73 ◽  
Author(s):  
Omar Ezzinbi ◽  
Malek Sarhani ◽  
Abdellatif El Afia ◽  
Youssef Benadada
Keyword(s):  
Preventive Maintenance ◽  
Crew Scheduling ◽  
Binary Particle Swarm Optimization ◽  
Scheduling Problem ◽  
Airline Crew Scheduling ◽  
Airline Crew ◽  
Proposed Model ◽  
Maintenance Model ◽  
Crew Scheduling Problem

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.

Efficient Heuristic Solutions to an Airline Crew Scheduling Problem

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

The Operational Airline Crew Scheduling Problem

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