An efficient splitting strategy is important for the islanding operation of power systems. In this paper, a mixed-integer linear programming (MILP)-based splitting method is proposed. First, the graph ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

The Lagrangian problem can thus be used in place of a linear programming relaxation to provide bounds in a branch and bound algorithm. This approach has led to dramatically improved algorithms for a ...

We propose an integer linear programming (ILP) formulation for the minimum relay break point set (BPS) computation. Subsequently, in the ILP framework, we propose an alternate maximum-independent ...

For integer programming, the phrase extends to the minimum scaling factor for the constraint-satisfying feasible region to cover space when repeated around every lattice point. More relevant for the ...

A simple simplex solver written in Javascript. It can solve linear programs and mixed integer programs using the revised simplex method and branch and bound techniques. Daily Fantasy Football lineup ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

Learn how to improve the convergence and accuracy of cutting plane and simplex methods for linear programming problems with these tips and tricks.

Eventually, polynomial-time algorithms for linear programming were found, but the simplex method continued to be used — and in many situations, outperformed its polynomial-time competitors.

In this paper, we also present a mathematical programming method in which a mixed integer linear programming model for a minimum backbone grid is proposed. A minimum number of branches and maximum ...

Zero-one integer programming is a mathematical method of using a series of yes (1) and no (0) answers to arrive at a solution.