- Problem-Based, where you express your objective and constraints in terms of symbolic-like problem variables.
- Solver-Based, where you set up your problem as a function of a single vector variable and write matrices that represent the linear constraints in terms of this one variable.
How to use Mixed integer programming to solve the optimization problem of service composition.
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Hi,
I use Mixed Integer programming to solve the optimization problem of service composition. I wrote the mathematical model, but I'm stuck with Matlab programming. For that, I'll be grateful if you could help me with this. Thank you in advance for your help.
problem modeling:
<<
<<
>>
>>
Sincerely yours, Selma.
0 comentarios
Respuestas (1)
Alan Weiss
el 11 de Jun. de 2018
Depending on your MATLAB version, there are two approaches to MILP.
There are plenty of examples of both types of approaches. Generally, I think that the problem-based approach is more straightforward, but you are free to use whichever one suits your style.
Alan Weiss
MATLAB mathematical toolbox documentation
0 comentarios
Ver también
Categorías
Más información sobre Linear Programming and Mixed-Integer Linear Programming en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!