Witryna28 gru 2024 · 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 problem with mixed integer/linear programming and the subproblem with constraint programming. Witryna1 cze 2024 · We develop several decomposition approaches based on the logic-based Benders decomposition (LBBD) algorithm. Our LBBD algorithm allows us to partition the decision variables in the IPPS problem into two models, master-problem and sub-problem. The master-problem determines process plan and operation-machine …
Logic-based Benders decomposition for an inventory-location …
WitrynaFor the problem, we formulate three novel mixed-integer linear programs that outperform state-of-the-art formulations and develop a new logic-based Benders decomposition algorithm. Extensive computational experiments on 1,400 benchmark instances with up to 300 jobs, 50 machines, and 300 locations are conducted to evaluate the … Witryna1 cze 2024 · We develop uni- and bi-level logic-based Benders decompositions for the linearized models. • We develop Benders balancing cuts for each logic-based Benders decomposition approach. • Uni- and bi-level approaches converge to ≈ 2% optimality gap in 30 minutes. Keywords Multi-level decomposition Cited by (0) ☆ Handled by editor … cristo rey jesuit baltimore
Logic-Based Benders Decomposition for Integrated Process …
WitrynaA logic-based Benders approach to home healthcare delivery Transportation Science February 1, 2024 We propose an exact optimization method for home healthcare delivery that relies on logic-based ... Witryna9 gru 2011 · Logic-based Benders decomposition can combine mixed integer programming and constraint programming to solve planning and scheduling problems much faster than either method alone. We find that a similar technique can be beneficial for solving pure scheduling problems as the problem size scales up. Witryna23 lip 2024 · Typically, symbolic or logical AI deal with using knowledge-bases and rule-sets in order to make intelligent decisions. These types of expert systems can provide powerful results and are used in many real-world applications from healthcare to taxes. cristo rey indy