Violation-based, diversity-based via k-medoids, and hybrid Benders cut filtering strategies solve more instances and cut solve times by 55-57% compared to adding all cuts.
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Adaptive multi-criteria scoring with online logistic regression for Benders subproblem selection yields statistically significant runtime and integral improvements on 135 survivable network design instances.
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Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching
Violation-based, diversity-based via k-medoids, and hybrid Benders cut filtering strategies solve more instances and cut solve times by 55-57% compared to adding all cuts.
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Adaptive Subproblem Selection in Benders Decomposition for Survivable Network Design Problems
Adaptive multi-criteria scoring with online logistic regression for Benders subproblem selection yields statistically significant runtime and integral improvements on 135 survivable network design instances.