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Found 4 papers, 2 papers with code
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?
Extensive research has been conducted, over recent years, on various ways of enhancing heuristic search for combinatorial optimization problems with machine learning algorithms.
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
The classical hinge-loss support vector machines (SVMs) model is sensitive to outlier observations due to the unboundedness of its loss function.
PILS: Exploring high-order neighborhoods by pattern mining and injection
During the local search, each pattern is used to define one move in which 1) incompatible edges are disconnected, 2) the edges defined by the pattern are reconnected, and 3) the remaining solution fragments are optimally reconnected.
Improving a State-of-the-Art Heuristic for the Minimum Latency Problem with Data Mining
Recently, hybrid metaheuristics have become a trend in operations research.
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