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math.OC2020
Stochastic Planning and Scheduling with Logic-Based Benders Decomposition
Ozgun Elci, J. N. Hooker
We apply logic-based Benders decomposition (LBBD) to two-stage stochastic planning and scheduling problems in which the second-stage is a scheduling task. We solve the master probl…
math.OC2020★ 2 cited
Balancing Fairness and Efficiency in an Optimization Model
Violet Xinying Chen, J. N. Hooker
Optimization models generally aim for efficiency by maximizing total benefit or minimizing cost. Yet a trade-off between fairness and efficiency is an important element of many pra…
math.OC2019★ 1 cited
Logic-based Benders decomposition for large-scale optimization
J. N. Hooker
Logic-based Benders decomposition (LBBD) is a substantial generalization of classical Benders decomposition that, in principle, allows the subproblem to be any optimization problem…