-
Architecture Optimization - Search Strategy - Search Policy
# Reference
# Brief
Architecture Optimization | Description | Examples
-- | -- | --
Random & Gird Search |
EA - Evolutionar…
-
Hi,
I am currently trying to test spectralis for de novo peptide sequencing of DDA datasets, and I currently have a problem.
While it is possible to get it running on a standard PC with open web con…
-
- [X] Simple network learns to drive virtual arm via STDP + RL
- [ ] Control of robotic vehicle (real-time interface with VREP robot simulator)
- [x] Evolutionary optimization of network params usin…
-
To evaluate the behavior of the two agent types—**IndividualAgent** (competitive, individualistic behavior) and **SystemAgent** (collaborative, cooperative behavior)—design a series of experiments tha…
-
## `remake` doesn't copy the `MTKParameters` object, unless new parameters are passed directly
- If a new problem is made with `newprob = remake(odeprob)`, any mutations to `newprob.p` will affect …
-
Ideas for some more multiobjective optimization algorithms to include in BlueM.Opt. No idea how these compare to PES:
### NSGA II
K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, "A fast and elitis…
-
**In which paper is this function introduced?**
"A Generic Test Suite for Evolutionary Multi-Fidelity Optimization", H. Wang, Y. Jin and J. Doherty, DOI: [10.1109/TEVC.2017.2758360](https://doi.org/1…
-
It would be useful to have some more performance metrics for MO optimization.
For instance, some that are often used in MO papers are:
- [ ] Diversity of the non-dominated front
- [ ] Closeness…
Sceki updated
4 years ago
-
Hello,
[CMA-ES](http://cma.gforge.inria.fr/) is a powerful evolutionary algorithm for black-box optimization problems. If there is interest in adding it to this optimization suite, I would be happy t…
-
Run an experiment to evaluate the performance of a simulated annealing gradient descent (SA-GD) approach compared to traditional gradient descent (GD). The purpose of this experiment is to understand …