You can solve mixed integer linear programming problems using the "intlinprog" function. This function was introduced in the Optimization Toolbox 7.0 (R2014a).
In previous releases, if the problem has only binary variables, you can use the "bintprog" function. Otherwise, you can use the genetic algorithm function "ga" in the Global Optimization Toolbox.
For mixed integer quadratic programming problems, you can use the genetic algorithm function "ga" in the Global Optimization Toolbox. This function solves mixed integer nonlinear programming problems, including quadratic ones.
