Solve Mixed-Integer Linear Programming (MILP) Optimization Problems in MATLAB
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- Опубликовано: 2 окт 2024
- #matlab #optimization #optimizationtechniques #mixedintegerprogramming #linearprogramming #convexoptimization #linearprogrammingproblem #matlabsimulation #matlaboptimization #controlengineering #matrixalgebra #convex #linearprogrammingproblems #signalprocessing #controltheory #modelpredictivecontrol
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In this post, we explain:
-What are mixed-integer linear programming optimization problems.
-How to define and solve these types of optimization problems in MATLAB.
We explain how to transform a mixed integer linear programming (MILP) in the canonical form that can be used to solve it in MATLAB.
If you need help with your professional engineering problem, or you need to develop new skills in the fields of control, signal processing, embedded systems, programming, optimization, machine learning, robotics, etc., we are here to help. We provide professional engineering services as well as tutoring and skill development services. We have more than 15 years of industry, research, and university-level teaching experience. Describe your problem and we will send you a quote for our services. The contact information is ml.mecheng@gmail.com
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A truly knowledgeable Person Can explain hard things in a simple wayou are the example of that. Great lecture.
Thank ypu for the encouraging comment!
Thank you! I was struggling with how to define certain varriables as integers and this cleared it up.
Glad that someone finds this video useful!
The post accompanying this video is given here: aleksandarhaber.com/solve-mixed-integer-linear-programming-milp-optimization-problems-in-matlab/
Haber, l am well informed about this tutorial. Nice work
@@naniselase2040 Thank you Nani Selase! Best wishes! A. Haber
Thanks for your video! I am currently solving Transportation Problem, P-Median Optimization Problem and had some difficulties . Your video helped me!
I am glad it helps!
Thanks a lot for your MATLAB tutorial material in both youtube and your website. Very helpful!
Thank you very much for the interest!
Nice video with good information 👌
Glad you liked it
I have a question for 19:02 , why is that ub=[20;20;0;0] instead of ub=[20;20;1;1] as shown before at 18:53
Sorry, no time to focus on this right now. If there is a typo in the video, I cannot do anything about it.
Thank you very much for this video Aleksandar
Thank you for the comment and interest in this topic! Best, A. H.
The upper and lower where get him
They come from your problem definition, you can choose them as you wish.