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A Branch and Bound Clustering Algorithm
IEEE Transactions on Computers, 1975The problem of clustering N objects into M classes may be viewed as a combinatorial optimization algorithm. In the literature on clustering, iterative hill-climbing techniques are used to find a locally optimum classification. In this paper, we develop a clustering algorithm based on the branch and bound method of combinatorial optimization.
Koontz, Warren L. G. +2 more
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A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers, 1977A feature subset selection algorithm based on branch and bound techniques is developed to select the best subset of m features from an n-feature set. Existing procedures for feature subset selection, such as sequential selection and dynamic programming, do not guarantee optimality of the selected feature subset. Exhaustive search, on the other hand, is
Narendra, Patrenahalli M. +1 more
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Parallel branch-and-bound algorithms
Future Generation Computer Systems, 1989Abstract In this paper a parallel algorithm for branch-and-bound problems is sketched. It is designed to run on MIMD machines and exploits coarse grain parallelism. Due to the irregular and unpredictable behavior of branch-and-bound algorithms, it is hard to obtain a good load-balance.
J.M. Jansen, F.W. Sijstermans
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Embedding Branch and Bound within Evolutionary Algorithms
Applied Intelligence, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cotta, Carlos, Troya, José M.
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A Branch-and-Bound Algorithm for Pagination
Operations Research, 1975The paper presents an algorithm for partitioning the nodes of a weighted graph in order to minimize the interset weights. The algorithm is patterned after the branch-and-probabilistic-bound procedures of Graves and Whinston. Final partitions or solutions are characterized by probability statements like: “the probability is greater than α that a ...
Duncan, John, Scott, Lawrence W.
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