Abstract: Linear and integer programming have recently gained interest as new approach for decoding channel codes. In this paper, we present a framework for the analysis of arbitrary linear block ...

Formulations of mathematical programs often require that some of the decision variables take only integer values. Consider the formulation You can follow the same steps to identify binary variables.

This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Abstract: This paper presents an inertial neuro-dynamic system to solve zero-one integer programming. We transform the problem of zero-one integer programming into a relatively easy problem only ...

This paper studies a class of integer programming problems in which squares of variables may occur in the constraints, and shows that no computing device can be programmed to compute the optimum ...

A community detection algorithm based on optimizing the Sieve objective function using IBM ILOG CPLEX to solve an Integer Linear Program.

The API offers a solution tool for a logistics problem of locating a "p" number of logistics facilities with territorial and capacity constraints.