(Springer, 2016) Agustín Martín, Alba; Gruler, Aljoscha; Armas, Jesica de; Juan, Ángel A.; Estadística e Investigación Operativa; Estatistika eta Ikerketa Operatiboa
Various complex decision making problems are related to airline
planning. In the competitive airline industry, ecient crew scheduling
is hereby of major practical importance. This paper presents a metaheuristic
approach based on biased randomization to tackle the challenging
Crew Pairing Problem (CPP). The objective of the CPP is the
establishment of
ight pairings allowing for cost minimizing crew-
ight
assignments. Experiments are done using a real-life case with dierent
constraints. The results show that our easy-to-use and fast algorithm
reduces overall crew
ying times and the necessary number of accompanying
crews compared to the pairings currently applied by the company.
