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In the Multiple Choice Integer Program, the binary variables are partitioned into generalized upper bounding sets (or special ordered sets). We solve this problem using a branch-and-bound scheme designed to take advantage of this structure. The basic procedure is enhanced by solving a Lagrangean problem as an approximation. Further, we use a variable reduction technique to eliminate many of the variables prior to problem solution. Computational experience is promising for randomly generated problems, scheduling problems, and budgeting problems tested.
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James C. Bean (1984) studied this question.
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