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Integer Programming — IP and Mixed-Integer Programming (MIP)

Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.

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Sources

  1. Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
  2. Nemhauser, G.L. & Wolsey, L.A. (1988). Integer and Combinatorial Optimization. Wiley. ISBN: 9780471359432

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Referenced by

ScholarGateInteger Programming (Integer Programming (IP / Mixed-Integer Programming)). Retrieved 2026-06-04 from https://scholargate.app/tr/optimization/integer-programming