Sentence examples for mixed integer optimization from inspiring English sources

Mixed integer optimization (MIP) determines optimal solutions of such complex problems; the development of new algorithms, software and hardware allow the solution of larger problems in acceptable times.

In the present paper, a mixed integer optimization is used to determine the optimal control structure and the optimal controller parameters simultaneously.

The MCDA tool is implemented in a user-friendly Excel worksheet and uses information obtained from a mixed integer optimization model, to produce a set of optimal schemes under different assumptions.

Non-linear prediction models, like artificial neural networks (e.g., NetMHC [ 3]), or even more complex prediction approaches like the one proposed by Zhang et al. [ 19], would lead to a non-convex, non-linear mixed integer optimization problem that cannot be solved efficiently and optimally even for small instances [ 20].

Optimal solutions by mixed-integer programming For certain classes of mixed integer optimization problems, fast solver implementations are available that guarantee to find the optimal solution.

The resulting model is a bilevel mixed integer optimization problem.

This research presents a new multi-objective nonlinear mixed-integer optimization model to determine Pareto-optimal preventive maintenance and replacement schedules for a repairable multi-workstation manufacturing system with increasing rate of occurrence of failure.

The problem is formulated as a mixed-integer optimization problem that accounts for time and congestion dependent vehicle speeds.

Second, we discuss logic-based optimization and its influence in both modeling and solving mixed-integer optimization problems.

For this, a mixed-integer optimization problem is formulated based on a particular reduced-order formulation of the controllability Gramian.

Customer demand is Poisson distributed and the service levels are time-based leading to highly non-linear, stochastic service constraints and a nonlinear, mixed-integer optimization problem.