Written by renowned experts in integer programming and combinatorial optimization, Integer Programming is destined to become an essential text in the field.
By combining integer programming and Monte Carlo simulation, we obtain the potential optimal solutions that can maximize the GOP depending on the variability of plastics sales prices and their correlations between resin types, which are estimated based on the statistics for the interval between 2007 and 2011.
The entire framework is described by an integer programming model.
Zioutas and Avramidis (2005) examined the effect of deleting outliers in the regression model obtained by mixed integer programming and compared the performance of this model with that of least squares, or LS, and LMS.
In this paper, the resource provisioning over multiple clouds is addressed by mixed integer programming model formulation using AIMMS [4] modeling language, which provides access to a wide range of solvers including CPLEX and GUROBI.
In [25], "brute force search" by employing integer programming is used to get the optimal solution for the problem of the time-domain resource partitioning for enhanced inter-cell interference coordination.
The problem of maximizing expected accuracy is solved by using integer programming with threshold cut.
Here we showed that equivalent results can be obtained by simple integer programming.
Solutions for the distance matrix problem were approximated by using Monte Carlo optimizations (Dali) (Holm and Sander, 1993) and an algorithm involving heuristic cutoffs on pairwise distance scores [Combinatorial Extension, (CE)] (Bourne and Shindyalov, 1998), whereas the contact map overlap problem has been addressed by using integer programming and Lagrangian relaxation (Caprara et al., 2004).
In this method, we formulate the problem of finding all solutions by a mixed integer programming problem, and solve it by a high-performance integer programming software such as GLPK, SCIP, or CPLEX.
A parallel genetic algorithm is proposed for an RRAP modeled by nonlinear mixed integer programming.
