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I'm solving an optimization problem with n_var=5, where all variable should be unrepeatable integers in range between x_min and x_max, however when I set `eliminate_duplicates = True`, did't work fine…
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**Describe the bug**
I am trying to compile pagmo2 (2.19.0) using IPOPT. I get the error:
```
[ 78%] Building CXX object CMakeFiles/pagmo.dir/src/r_policies/fair_replace.cpp.o
[ 79%] Building CX…
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#### Problem location
https://ensmallen.org/docs.html#moead-de
https://ensmallen.org/docs.html#nsga2
#### Description of problem
In the examples of both algorithms, the function Scha…
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I have installed CADET-Process==0.6.3 via pip on python 3.7 in a docker container running Red Hat 4.8.3-9. I have CADET==0.10 installed, and pymoo==0.6.0. When I import CADETProcess, it fails when try…
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Hello,
I am now using NSGA-2 to solve dual-objective optimization problem, and from priori experience, I know some feasible solutions. So how can I add the solutions when initializing the algorithm…
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Hi, I've been using pymoo in my multi-objective optimization problem. I have the initial population for the multi-objective algorithm
(say, NSGA-2) generated by another algorithm.
How can I feed …
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The following code, when running vectorized as follows produced incorrect values in the `Result` object. I know it's unorthodox, it is so just because I am trying to make it as simple and as demonstra…
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Pymoo has a strong multi-objective solver, NSGA2. We need an example that successfully runs it demonstrates how to handle Pareto front results
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Hi,
Apologies if this is obvious, but the pareto front seems to cut off at 300. I have tried optimising different problems but the same keeps happening. I'm wondering if there is a parameter that I…
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Dear David,
I have a very huge search space on my problem, so NSGA2 and NSGA3 on MOEA are not able to find acceptable results. As a solution, I think about reducing the search space. I would use a co…