Optimization in Python: Pyomo and Gurobipy Workshop - Brent Austgen - UT Austin INFORMS

Join UT INFORMS student chapter officer Brent Austgen for a tutorial in implementing math models with pyomo and gurobipy. The tutorial includes an overview of these frameworks, a walk-through of some examples, and Q&A.

UT Austin INFORMS Student Chapter:

[helenlu]

Thanks Brent for tutoring! Looking forward to the next tutorial!

[Lux]

Great explanation! Thank you very much. Greetings from Technical University Kaiserslautern, Germany :)

[Yosalsafiesta]

This is a wonderful tutorial!!! Thank you so much!

[ershibahuasheng]

Thanks for sharing. Seems Helen also from my country.

[sabiqas]

Very helpful video. I wonder if it is possible to define multiple bounds for a variable in PYOMO. Eg: 1<x<3 or 4<x<8. If someone has an idea, please let me know.

[siyavashfilom]

Extremely helpful tutorial, many thanks for sharing

[BB-kbjd]

Hello, Great example and video. Thank you. Could you also show how to import variable and parameter sets from an excel file to pyomo?

[tts]

hello, i have one problem. I already build my model with the first method from pyomo. I tried to use gurobi as a solver but i take this error "GurobiDirect does not support expressions of degree None". I want to ask if i can use the gurobi only as a solver and if yes then what is the problem?

[wilsonmendes]

Thank you for this wonderful video. But I am not sure about the idea indexing a set with binary variable at 28:28
Could you please explain how it actually works? The word "Binary" is a bit misleading. I would appreciate if you could share some links/documents. Thank you once again!

[tigabuabebe]

thank you. this is very helpul tutorial. please can you upload your tutorial about cost optimization from csv file?

[robertaraujo]

I found this tutorial very useful, now i know how to set n-dimensional parameters and decision variables according to the dimension of the dataframe. I wonder, what studies are coursing those students? is it sort of a master in operations research or it's just a course that contains oprimization topics?

[digskullz]

For the binary knapsack problem, what if you have two objectives?

[raihanmasud]

Nice and helpful video. However two commen errors in github codes. (1) graph.nodes or, graph.edges are not iterable. (2) module 'matplotlib.cbook' has no attribute 'is_string_like'. I am wondering if you could update the github codes. Thank you in advance.

[Blueface]

Is it possible to solve multiple LPP's within pyomo?

[julatehmulbah]

is there a way to install the glpk solver in python

[tigabuabebe]

model.n = pe.Var(domain=pe.Binary)
model.m = pe.Var(domain=pe.Binary)
model.k = pe.Var(domain=pe.Binary)

gives this error; what shall i do

WARNING: Implicitly replacing the Component attribute n (type=<class
on block unknown with a new Component
(type=<class This is usually
indicative of a modelling error. To avoid this warning, use
block.del_component() and block.add_component().
WARNING: Implicitly replacing the Component attribute m (type=<class
on block unknown with a new Component
(type=<class This is usually
indicative of a modelling error. To avoid this warning, use
block.del_component() and block.add_component().
WARNING: Implicitly replacing the Component attribute k (type=<class
on block unknown with a new Component
(type=<class This is usually
indicative of a modelling error. To avoid this warning, use
block.del_component() and block.add_component().

[Blueface]

Is it possible to get ur email @Brent, I have an DEA optimization model I'd like to implement in pyomo. But I'm struggling a bit.