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- W1994771844 abstract "The limited success of exact methods for solving integer programming problems has prompted the development of heuristic procedures which have performed surprisingly well in their search for near-optimal solutions. The present paper constitutes an attempt to generalize these procedures to the mixed integer case. The approach is based on the utilization of the Benders partitioning method (BPM) which separates the integer from the continuous variables. A number of alternatives are presented for integrating IP heuristics in the BPM thus alleviating its main limitation: the necessity of solving a sequence of integer master problems. The rationale and its usefulness are illustrated on large-scale applications from the fields of power systems and network flows." @default.
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- W1994771844 date "1984-06-01" @default.
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- W1994771844 title "Large-scale mixed integer programming: Benders-type heuristics" @default.
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- W1994771844 doi "https://doi.org/10.1016/0377-2217(84)90287-x" @default.
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