An example is worked out to show that the framework of mixed integer/linear programming is well suited for path planning and collision avoidance problems. Implementation issues are also considered. In ...

We propose an exact solution approach that involves mixed-integer linear programming. The objective is hereby to minimize the sum of weighted deviations from the target landing times under ...

Mixed Integer Programming (MIP) is a powerful abstraction in combinatorial optimization that finds real-life application across many significant sectors. The recent proliferation of graphical ...

3. Methodology The framework developed for this approach uses a mixed-integer linear programming formulation, balancing imprecision from linearization with benefits of global optima and rapid ...

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by ...

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by ...

Publication | Publication Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be ...

We develop a mixed-integer programming (MIP) model to address chemical production scheduling problems in a wide range of facilities, including facilities with many different types of material handling ...