https://github.com/araffin/es-with-search-path
Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++
https://github.com/araffin/es-with-search-path
algorithms black-box-optimization cpp evolution-strategies
Last synced: 2 months ago
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Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++
- Host: GitHub
- URL: https://github.com/araffin/es-with-search-path
- Owner: araffin
- Created: 2016-10-18T20:57:08.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-12-13T10:19:40.000Z (almost 8 years ago)
- Last Synced: 2025-02-08T09:46:53.247Z (8 months ago)
- Topics: algorithms, black-box-optimization, cpp, evolution-strategies
- Language: C
- Homepage:
- Size: 561 KB
- Stars: 2
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## (μ/μ,λ)-ES with Search Path in C++
An implementation of the algorithm (μ/μ,λ)-ES with Search Path presented in the paper[1]. To test and compare our algorithm with others, we used the [COCO plateform](https://github.com/numbbo/coco).
## Running the experiment
If you want to run an experiment, you first have to compile the project :
```
make
./experiment
```
To post-process the data, please see [COCO guide](https://github.com/numbbo/coco).
## Contributors
- Florence Carton
- Alvaro Correia
- Gabriel Quéré
- Antonin Raffin
Students at ENSTA ParisTech.
## References
[1] Hansen, N., D.V. Arnold and A. Auger (2015). Evolution Strategies. In Janusz Kacprzyk and Witold Pedrycz (Eds.): *Handbook of Computational Intelligence*, Springer, Chapter 44, pp.871-898
[Paper Link](https://www.lri.fr/~hansen/es-overview-2014.pdf)