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- W3091103485 abstract "The degree-constrained minimum spanning tree problem, which involves finding a minimum spanning tree of a given graph with upper bounds on the vertex degrees, has found multiple applications in several domains. In this paper, we propose a novel CP approach to tackle this problem where we extend a recent branch-and-bound approach with an adaptation of the LKH local search heuristic to deal with trees instead of tours. Every time a solution is found, it is locally optimised by our new heuristic, thus yielding a tightened cut. Our experimental evaluation shows that this significantly speeds up the branch-and-bound search and hence closes the performance gap to the state-of-the-art bottom-up CP approach." @default.
- W3091103485 created "2020-10-08" @default.
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- W3091103485 date "2020-01-01" @default.
- W3091103485 modified "2023-09-27" @default.
- W3091103485 title "Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH" @default.
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- W3091103485 doi "https://doi.org/10.1007/978-3-030-58942-4_29" @default.
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