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I see on github that you are writing optimization code using Python. When using non-linear solvers such as Levenberg-Marquardt or gradient descent to optimize parameters for non-linear regression, the…
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Consider the following resources for machine learning, probability, and classic AI
## tagged machine learning
[Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle…
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*Issue migrated from trac ticket # 1181*
**milestone:** HeuristicLab 3.3.x Backlog | **component:** General | **priority:** medium
#### 2010-09-03 19:14:34: @abeham created the issue
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> Julia i…
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- [ ] which label to use for "parameter optimization"? "optimization" is taken by "CPU performance optimizations", NuPIC used "swarming" which is more specific than necessary, but already used in the …
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Hi, all. We have to write our scientific and lay abstract. See https://github.com/hackseq/October_2016/issues/76
Please write a few sentences about your work here. I'll put them all together. Thanks!…
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related to the genetic algorithm work #8 , GA's are often used to traverse a very large number of graphs or weighted graphs as problem spaces, and in regards to the need for other optimization needs, …
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Hey, thanks for your great work and for publishing the paper related code base!
I am really interested in the fact that you didn't use NSGA2 algorithm. Have you considered it or are there special rea…
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_From @Weibye on August 23, 2017 7:6_
Curves should be flipped to always have start of curve closer to last movement than end of curve. This will further reduce unnecessary criss-crossing and improve…
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Dear Organizers of COCO,
I would like to submit the benchmarking results of three optimizers (DE-NO-r1-B, DE-j-r2-B, and DE-CoBi-r1-L) on the bbob-mixint suite. Could you please upload them to the …
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Currently the code is designed just to optimize epsilon for a given sigma. This is done in part because the golden section code is intended for 1-D optimization. There are a few options for modifying …