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**Scenario**
Let's see how far our model can get us without using GPUs
**Implementation**
Optimize a selection of the network hyper-parameters using an optimization method that is smarter than g…
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*Issue migrated from trac ticket # 3055*
**component:** Algorithms | **priority:** medium | **keywords:** MOO, Hypervolume Contribution, indicator-based
#### 2020-02-06 13:10:07: @kfyang created the…
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Hi, at first, I want to say thank for your great work.
I just some question about your approach.
In your code, you used Mergekit for reproducing "Evolutionary Optimization of Model Merging Recipes" …
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Respected Sir,
I want to add more Evolutionary/Genetic Algorithms and its application in machine learning in your project. Presently Evolutionary or population based algorithms are used in various Mu…
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This is linked to the review feedback in Issue #65 and part of the JOSS review: openjournals/joss-reviews#7322
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Hello I want to ask you a question, I want to use your open source code optimization intelligent evolutionary algorithm What operational advice do you have
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*Issue migrated from trac ticket # 2989*
**milestone:** HeuristicLab 3.3.17 | **component:** Problems | **priority:** medium
#### 2019-02-13 22:14:22: @s-wagner created the issue
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> Implement t…
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Differential evolution would be an addition to the evolutionary algorithms implemented in argmin-rs. The only other I've seen so far is Particle Swarm Optimization. It's good that this algorithm imple…
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function Score = Hausdorff(PopObj,PF)
%
% Averaged Hausdorff Distance
%O. Schutze, X. Esquivel, A. Lara, and C. A. C. Coello,
%“Using the averaged hausdorff distance as a performance
%measu…
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It will be great to have some basic implementation of single objective GA/ES as then PlatEMO can be a one stop solution for evolutionary optimization!