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Novel search space updating heuristics-based genetic algorithm for optimizing medium-scale airline crew pairing problems
International Journal of Computational Intelligence Systems
This study examines the crew pairing problem, which is one of the most comprehensive problems encountered in airline planning, to generate a set of crew pairings that has minimal cost, covers all flight legs and fulfils legal criteria. In addition, this study examines current research related to crew pairing optimization. The contribution of this study is developing heuristics based on an improved dynamic-based genetic algorithm, a deadhead-minimizing pairing search and a partial solutiondoi:10.2991/ijcis.2017.10.1.72 fatcat:khlbz3fhqndrncxlkbsmkmaebm