Now that we have learned how to formulate and solve Linear Programs, we can consider an additional restriction on the solution that all variables must have an integer value. With this new constraint, ...

Integer [Linear] Programming. Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously ...

In the realm of integer programming, encountering unsolvable constraints can seem like hitting a brick wall. Here's how to approach this conundrum: - Relax the constraints.

N. Rubin, Bright, C. , Stevens, B. , and Cheung, K. K. H. , “Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract)”, in Thirty-Sixth AAAI Conference on ...

In the present paper a bi-objective integer linear programming problem (BILP) is discussed. The main effort in this work is to effectively implement the ϵ-constraint method to produce a complete set ...

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

Many problems of interest for cyber-physical network systems can be formulated as mixed-integer linear programs in which the constraints are distributed among the agents. In this paper, we propose a ...

Multi-objective integer non-linear programming (MINP) problems are ubiquitous in real life, however, only the ε-constraint method can be used to solve MINP problems. To improve the computation time of ...