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…wer bound to the global upper bound. Signed-off-by: Nicolas L. Guidotti <nguidotti@nvidia.com>
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Review comments at @cpp/src/branch_and_bound/branch_and_bound.cpp:
- Around line 5276-5277: In the bounds-strengthening rejection path, set
node_ptr->lower_bound to worker.local_upper_bound before calling
search_tree.update, then record that same bound with worker.record_fathomed so
the tree and event use a consistent finite bound.
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cpp/src/branch_and_bound/branch_and_bound.cppcpp/src/branch_and_bound/deterministic_workers.hppcpp/src/branch_and_bound/mip_node.hpp
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Signed-off-by: Nicolas L. Guidotti <nguidotti@nvidia.com>
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In #2129, a variable bound is tightened based on the relation$\mathbf{c}^T \mathbf{x} < \hat{z}$ where $\hat{z}$ is the objective of the current incumbent. Therefore, after that change, node deemed infeasible may be (1) truly infeasible or (2) has a objective greater than the current incumbent. Infeasible nodes has an $\hat{z}$ . The main problem is that the final lower bound calculation depends on the lower bound of the nodes and misclassifying the nodes may lead to wrong lower bounds.
inflower bound while cutoff has a lower bound set toIn this PR, we treat both results in the same way: the node is classified as$\hat{z}$ since this is the safe option.
FATHOMEDand has the lower bound set toResults:
MIPLIB2017, 10min, EOS (H100 + Intel Sapphire Rapids 28C/56T per instance)
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