28 research outputs found
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
Network models, Lagrangean relaxations and subgradient bundle approach in crew scheduling problems
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
We present an algorithmfg the crew pairing problem, an optimization problem that is partof the airline crew scheduling procedure. A pairing is