Learn what integer programming is, how it differs from linear programming, what types of problems it can solve, and how to formulate and solve integer programming models.

Learn how to simplify integer programming models using binary variables, linearization techniques, valid inequalities, problem structure, and heuristics.

Berit D. Brouer, J. Fernando Alvarez, Christian E. M. Plum, David Pisinger, Mikkel M. Sigurd, A Base Integer Programming Model and Benchmark Suite for Liner-Shipping ...

A practical conceptual framework for sales resource allocation modeling is presented in this paper. A literature review of sales resource allocation models is described in terms of this framework. The ...

This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer o ...

This chapter presents a search procedure for a pure integer programming model, which is a modification of the simplex method for linear programming. This modified search procedure moves on the integer ...

Integer overflow and wraparound are major causes of software vulnerabilities in the C and C++ programming languages. In this paper we present the as-if infinitely ranged (AIR) integer model, which ...

Contribute to dodyks/Integer-Linear-Programming-Model-for-Demand-Prioritization-and-Profit-Maximization development by creating an account on GitHub.

When the thermodynamic models or compositions of material streams are considered, the PI problem becomes non-linear. Both deterministic and stochastic optimization methods have been used in the ...