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I know using positions(result) can return the population of each iteration. But I do not know which function can help to access the current non-dominated points (for both X and f(X)) after each iterat…
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Using Julia 1.9.2, I get the following error when I try to use FUSE on worker nodes:
Input code:
```
using FUSE
using JLD2
using Plots;
FUSE.logging(Logging.Info; actors = Logging.Error);
s…
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Hi all,
I want to use a starting solution for pymoo in the algorithms NSGA2. For that I have the following code
```
intial_solution = ICSimulation.simulateDays_ConventionalControl()
algorithm …
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Make a new abstract class called MinecraftWeightedSumFitnessFunction that extends the TimedEvaluationMinecraftFitnessFunction. This abstract class will have a constructor that takes two lists:
- a li…
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Hello,
first of all, thanks for the great package.
I am facing some problems; I would like to implement CV as a penalty:
```
Id = 1e-6
Vth = 0.7
Va = 100
algorithm = NSGA2(
…
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Create and run batch files that combine these fitness functions using multiobjective evolution. See #881 for info on ChangeBlocksFitness
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In theory, this should already work, though there are not really batch files for it. The ones from GECCO for pure fitness can be easily augmented to include multiple fitness functions. However, I anti…
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This idea comes from this paper: https://arxiv.org/pdf/2202.03057.pdf
It will be a challenging issue requiring a lot of work. The idea is to combine MAP-Elites with NSGA-II. NSGA-II is a multiobjec…
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I tried to modify the example to perform Multi Objective with mixed variables (version 0.6)
with 2 choices "x": Choice(options=["nothing", "multiply"]),
If I have to use the value associated to x,…
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Hi,
In my problem, I used nsga2 as the solver and adopted random sampling strategy, the code looked like below:
```
algorithm = NSGA2(
pop_size=100,
n_offsprin…