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- W2741597579 abstract "Branch and bound approaches for optimization problems were developed in the 1960s [114, 121]. The main concept of a branch and bound algorithm is to detect and discard sets of feasible decisions which cannot contain optimal decisions. The search process can be illustrated as a search tree with the root corresponding to the search space and branches corresponding to its subsets. An iteration of the algorithm processes a node in the search tree that represents an unexplored subset of feasible decisions. The iteration has three main components: selection of the subset to be processed, branching corresponding to subdivision of the subset, and bound calculation." @default.
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- W2741597579 date "2017-01-01" @default.
- W2741597579 modified "2023-10-06" @default.
- W2741597579 title "Multi-Objective Branch and Bound" @default.
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- W2741597579 doi "https://doi.org/10.1007/978-3-319-61007-8_5" @default.
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