Integer and combinatorial optimization
Integer and combinatorial optimization
Heuristic sampling: a method for predicting the performance of tree searching programs
SIAM Journal on Computing
Solving large-scale QAP problems in parallel with the search library ZRAM
Journal of Parallel and Distributed Computing - Special issue on irregular problems in supercomputing applications
Branch and bound algorithm selection by performance prediction
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Basis reduction and the complexity of branch-and-bound
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Predicting the Solution Time of Branch-and-Bound Algorithms for Mixed-Integer Programs
INFORMS Journal on Computing
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This paper intends to show that the time needed to solve mixed-integer-programming problems by branch and bound can be roughly predicted early in the solution process. We construct a procedure that can be implemented as part of an MIP solver. It is based on analyzing the partial tree resulting from running the algorithm for a short period of time and predicting the shape of the whole tree. The procedure is tested on instances from the literature. This work was inspired by the practical applicability of such a result.