Comunicaciones y ponencias de congresos DEIO - EIOS Biltzarretako komunikazioak eta txostenak
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Publication Open Access Optimizing airline crew scheduling using biased randomization: a case study(Springer, 2016) Agustín Martín, Alba; Gruler, Aljoscha; Armas, Jesica de; Juan, Ángel A.; Estadística e Investigación Operativa; Estatistika eta Ikerketa OperatiboaVarious 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.