https://github.com/danopcode/ffr105

Stochastic optimization algorithms, FFR105, LP 1, 2013
https://github.com/danopcode/ffr105

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Stochastic optimization algorithms, FFR105, LP 1, 2013

• Host: GitHub
• URL: https://github.com/danopcode/ffr105
• Owner: DanOpcode
• Created: 2013-09-10T14:52:39.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2013-09-10T21:13:41.000Z (almost 13 years ago)
• Last Synced: 2026-02-06T09:37:22.565Z (4 months ago)
• Language: Matlab
• Size: 215 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Stochastic optimization algorithms, FFR105, Chalmers, LP 1 (first quarter), 2013

* [Course site](http://www.me.chalmers.se/~mwahde/courses/soa/2013/soa.html)

* [Course's Matlab coding

  standard](http://www.me.chalmers.se/~mwahde/courses/soa/2013/MatlabCodingStandard.pdf)

## An elementary introduction to Matlab programming for stochastic optimization

The code for the introduction guide can be found in

[SimpleEvolutionAlgorithm/](SimpleEvolutionAlgorithm/). Execute the evolution

with the command `FunctionOptimization` in Matlab.

![Simple Evolution Algorithm

Screenshot](SimpleEvolutionAlgorithm/screenshot.png)

Screenshot caption: On the image is the algorithm still running through the

generations, which explains the drop/fall in the left figure.