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- W2073202630 abstract "This paper presents some new heuristics based on variable neighborhood search to solve the vertex weighted k-cardinality tree problem. An efficient local search procedure is also developed for use within these heuristics. Our computational results demonstrate that the new heuristics substantially outperform the state-of-the-art methodologies, including a tabu search and genetic algorithm recently proposed in the literature. We also show that a decomposition approach is best for larger problem sizes than previously investigated. Thus, our findings advance in a significant way the capacity to solve this important class of problems." @default.
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- W2073202630 date "2006-05-01" @default.
- W2073202630 modified "2023-10-18" @default.
- W2073202630 title "Variable neighborhood search for the vertex weighted k-cardinality tree problem" @default.
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- W2073202630 doi "https://doi.org/10.1016/j.ejor.2004.07.061" @default.
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