Charitha Heendeniya
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Latest activity by Charitha Heendeniya
Charitha Heendeniya commented,
Thank you. I will try that. So in general, can we say that indicator constraints perform better than bilinear and quadratic constraints?

Charitha Heendeniya commented,
The link I sent before is broken due to the fulltop at the end. The download link again: https://www.filemail.com/d/xsadvtceoialmei

Charitha Heendeniya commented,
Please find the log output below. The LP file is available at https://www.filemail.com/d/xsadvtceoialmei. Thread count: 10 physical cores, 12 logical processors, using up to 12 threads Optimize a...

Charitha Heendeniya commented,
Thank you Jaromil. I tried your suggestion. H 0 0 1547.9138011 1400.00000 9.56%  279s 0 2 1400.00000 0 35 1547.91380 1400.00000 9.56%  282s ...

Charitha Heendeniya commented,
Thank you very much. Yes, I missed that when I sum over the binaries, it turns out to be an integer value.I post the progress above. You see that the dual bound is stuck. By 300s, the incumbent is ...

Charitha Heendeniya commented,
I also attach a screenshot of the post.

Charitha Heendeniya commented,
Hello Jaromil, Here is the particular linearized constraint. self is an instance of a Gurobi model. _x is binary, _z is continuous in the range [0, 1], e_high and e_low are the bigM's I play with....

Charitha Heendeniya created a post,
Question about linearization
AnsweredHello, This might be a simple question, but I want to really understand what is going on behind the scene. I'm trying to linearize a product between a binary and a continuous variable. The binary v...

Charitha Heendeniya commented,
OK, I will try that. When a continuous variable is defined, I thought (inf, _nf) bounds are implied. I missed that the default lower bound is 0 Thank you very much.

Charitha Heendeniya commented,
Dear Jonas, Thank you for the reply. x[386,135,t2] = 0 and x[386,135,t1] = 0 because they are coming from a partial solution. So Gurobi also knows it. You are right. en[46,135] is continuous. Buddi