28 research outputs found

    A Parallel Genetic Algorithm for the Set Partitioning Problem

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    Optimization Applications in the Airline Industry

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    The Complex Configuration Model

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    Crew Pairing Optimization

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    A New Subadditive Approach to Integer Programming

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    Network models, Lagrangean relaxations and subgradient bundle approach in crew scheduling problems

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    The paper describes the mathematical based tools implememented in the MTRAM package, for solving large size crew scheduling problems. A column generation procedure that exploits the subproblem network structure, is presented, based on constrained shortest paths. A heuristic solution approach to large size Set Covering models, based on Lagrangean relaxation, is also presented. Computational results on real life instances are discussed

    Crew Pairing Optimization with Genetic Algorithms

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    We present an algorithmfg the crew pairing problem, an optimization problem that is partof the airline crew scheduling procedure. A pairing is
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