Sökning: "mixed integer programming"
Visar resultat 1 - 5 av 83 avhandlingar innehållade orden mixed integer programming.
1. Integer Quadratic Programming for Control and Communication
Sammanfattning : The main topic of this thesis is integer quadratic programming with applications to problems arising in the areas of automatic control and communication. One of the most widespread modern control methods is Model Predictive Control (MPC). In each sampling time, MPC requires the solution of a Quadratic Programming (QP) problem. LÄS MER
2. Applications of Integer Quadratic Programming in Control and Communication
Sammanfattning : The main topic of this thesis is integer quadratic programming with applications to problems arising in the areas of automatic control and communication. One of the most widespread modern control principles is the discrete-time method Model Predictive Control (MPC). LÄS MER
3. On the optimization of opportunistic maintenance activities
Sammanfattning : Maintenance is a source of large costs; in the EU the maintenance costs amountto between 4% and 8% of the total sales turnover. Opportunistic maintenance is anattempt to lower the maintenance cost by considering the failure of onecomponent as an opportunity to replace yet non-failed components in order toprevent future failures. LÄS MER
4. Haulage system optimization for underground mines : A discrete event simulation and mixed integer programming approach
Sammanfattning : In coming decades, many underground mines will operate at greater depths, which will affect many operational factors such as increased rock stress, longer haulage distances, and higher energy consumption, which potentially can generate lower production rates. The increased rock stresses may lead to smaller sized openings, further restricting the size of loading and hauling equipment that can be used. LÄS MER
5. Models and solution methods for large-scale industrial mixed integer programming problems
Sammanfattning : This thesis deals with large-scale industrial problems that can be formulated using mixed integer linear programming (MIP) models. Because of the large problem size, it is not often possible to apply standard solution methods. Therefore special techniques must be used. LÄS MER