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(Requested by @mlaitin)
The current NSGA-II multi-objective optimization algorithm is too fancy (slow and inaccurate) for optimizing recoils or fluence. A single-objective linear fit algorithm woul…
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Hi,
I am just wondering have you got JSP_dataset.xlsx for NSGA-II code.py ??
Thanks.
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Hi,
I'm asking this question because I have no idea where to ask otherwise :)
I've been using the NSGA-II implementation in DEAP with great success. My problem has 6 parameters and 3 fitness val…
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NSGA-II does not solve problem ZDT4 when stopping at 25000 evaluations, so there is an error somewhere that I have not detected so far. However, the fronts obtained when solving problems Schaffer, K…
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Dear Sumo-user,
I am writing to inquire about the possibility of performing parallel simulations within SUMO for traffic light optimization.
I am currently working with the NSGA-II algorithm usi…
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Hello, I modified `branin100` problem with constraints as below
```
lb = np.hstack((-5 * np.ones(50), 0 * np.ones(50))) # lower bounds for input domain
ub = np.hstack((10 * np.ones(50), 30 * np…
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I have a multi-objective optimization problem where my batched fitness function returns a result in the shape of `(30, 2)` (so 2 objectives). The settings for the optimizer are as follows:
```pyth…
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Maybe by running NSGA-II and SMS-EMOA on >=2 benchmark function with d\in {2, 3} dimensions (problem parameter). This enables to nicely show the capabilities of, say, r`df_get_indicators` or r`plot_sc…
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### More results
![sk01](https://user-images.githubusercontent.com/16036156/38817056-8599e394-4165-11e8-89c7-6d32871bade7.png)
##### Remarks:
+ Tuned learners perform better than the state-of-the-…
rahlk updated
6 years ago
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In the paper, the authors pointed out that they found the best permutation for subsequent iterations.
And in the implementation, the authors used part of the Auto-Attack code.
But in fact, the key s…