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This article introduces a new optimization problem that involves searching for the spanning tree of minimum cost under a quadratic cost structure. This quadratic minimum spanning tree problem is proven to be NP-hard. A technique for generating lower bounds for this problem is discussed and incorporated into branch-and-bound schemes for obtaining exact solutions. Two heuristic algorithms are also developed. Computational experience with both exact and heuristic algorithms is reported.  相似文献   
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