Genetic algorithm based approach for the integrated airline crew-pairing and rostering problem

2009 ◽  
Vol 199 (3) ◽  
pp. 674-683 ◽  
Author(s):  
Nadia Souai ◽  
Jacques Teghem
Author(s):  
Laurent Alfandari ◽  
Anass Nagih
Keyword(s):  

Author(s):  
Divyam Aggarwal ◽  
Dhish Kumar Saxena ◽  
Michael Emmerich ◽  
Saaju Paulose

Author(s):  
Parames Chutima ◽  
Nicha Krisanaphan

Crew pairing is the primary cost checkpoint in airline crew scheduling. Because the crew cost comes second after the fuel cost, a substantial cost saving can be gained from effective crew pairing. In this paper, the cockpit crew pairing problem (CCPP) of a budget airline was studied. Unlike the conventional CCPP that focuses solely on the cost component, many more objectives deemed to be no less important than cost minimisation were also taken into consideration. The adaptive non-dominated sorting differential algorithm III (ANSDE III) was proposed to optimise the CCPP against many objectives simultaneously. The performance of ANSDE III was compared against the NSGA III, MOEA/D, and MODE algorithms under several Pareto optimal measurements, where ANSDE III outperformed the others in every metric.


Author(s):  
Elvin Çoban ◽  
İbrahim Muter ◽  
Duygu Taş ◽  
Ş. İlker Birbil ◽  
Kerem Bülbül ◽  
...  

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Guy Desaulniers ◽  
François Lessard ◽  
Mohammed Saddoune ◽  
François Soumis

2012 ◽  
Vol 46 (1) ◽  
pp. 39-55 ◽  
Author(s):  
Mohammed Saddoune ◽  
Guy Desaulniers ◽  
Issmail Elhallaoui ◽  
François Soumis

2005 ◽  
Vol 5 (2) ◽  
pp. 241-259 ◽  
Author(s):  
Yufeng Guo ◽  
Leena Suhl ◽  
Markus P. Thiel

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