As one of several optimization methods in operations research,

integer programming is applied to solve problems in which the decision variables are represented as integers.

They developed an algorithm and then compared it to an optimal

integer programming approach.

Then, we have formulated the bundle pricing problem as a nonlinear mixed

integer programming model.

Being an NP problem, the 0-1

integer programming model, a typical model extensively used in operations research, is hard to be solved.

SDSA-MM is a linear

integer programming model that can be directly solved using CPLEX.

As it can be seen in Table 1, only one paper about PROP has been presented in the literature, while this paper introduces the PROP and provides a mixed

integer programming (MIP) model that is able to solve small instances of PROP up to 2i facilities.

4 Neutrosophic Optimization Model of

integer programming problem

Billionnet, "Using

integer programming to solve the train-platforming problem," Transportation Science, vol.

Therefore, the solution for the given fuzzy

integer programming problem (P) is as follows,

By working in conjunction, technologies for data warehousing, forecasting, discrete-event simulation modeling, and mathematical optimization (

integer programming) derive "super model" power to improve decision-making significantly for contact centers.

Vrahatis, "Particle swarm optimization for

integer programming," in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '02), vol.

[13] formulate multiobject tracking as an

integer programming (IP) problem and reduce it to linear programming (LP).