Reviving
Integer Programming Approaches for AI Planning: A Branch-and-Cut Framework.
Gunasingh and Lashkari (1989) presented a 0/1
integer programming model with two alternative objective functions: 1) to maximize similarity between machines and parts or 2) to minimize the cost of machines less savings in intercellular movements.
Robert Causey provided extensive critiques of the solutions produced by the
integer programming model.
Mixed
Integer Programming by a Branch and Bound Technique.
Khorasaninejad, "Size optimization for hybrid photovoltaic-wind energy system using ant colony optimization for continuous domains based
integer programming," Applied Soft Computing, vol.
In Section 2, the proposed problem is formulated as an
integer programming problem by use of a decomposition based solution strategy that creates a master problem (a binary
integer programming problem) and also a subproblem (column generation problem) to generate columns for the master problem.
of North Carolina at Wilmington) presents a varied selection of papers dealing with theory and applications in
integer programming.
He covers linear programming formulations (allocation, covering, blending and network models and data envelopment analysis), sensitivity analysis in linear programs,
integer programming, nonlinear programming, and heuristic solutions with the evolutionary solver, and includes case studies, exercises and appendices on software, graphical methods in linear programming, the simplex method, and stochastic programming.
Watson Research Center) discusses linear and
integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows.
