Abstract: An integer linear bilevel programming problem is firstly transformed into a binary linear bilevel programming problem, and then converted into a single-level binary implicit programming. An ...

Branch-and-bound methods are designed for solving integer linear programming (ILP) problems, which are LP problems where some or all of the variables must take integer values. ILP problems are ...

The program was designed to solve an Integer Problem Problem stated in Section 7.1. of Reference. But it could be used to solve any Integer Linear Programming problem with some minor changes. You may ...

Integer programming works for airline scheduling by formulating the problem as a large-scale mixed-integer linear program (MILP), where some variables are continuous and some are integer.

Solving the two-dimensional strip packing problem, using several combinatorial decision making and optimization approaches: Constraint Programming, Boolean SATisfiability, Satisfiability Modulo Theory ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

In this paper, a mixed-integer linear programming (MILP)-based splitting method is proposed. First, the graph theory is employed to transform the splitting problem into a graph partition problem. Then ...

This paper deals with the aircraft landing problem, which consists of determining a landing ... We propose an exact solution approach that involves mixed-integer linear programming. The objective is ...

This example shows how to use PROC LP to solve a linear goal-programming problem. PROC LP has the ability to solve a series of linear programs, each with a new objective function. These objective ...

Operations research professionals need the best linear programming software for Windows to solve optimization problems. Below we offer a tool ... In addition, their MIP (mixed-integer programming) ...