https://github.com/simonusher/p3-ag-challenge
This repository contains my adaptation/implementation of the Parameter-less population pyramid (P3) optimization method. It is my solution to the second evolutionary computation challenge, organized at Wrocław University of Science and Technology.
https://github.com/simonusher/p3-ag-challenge
binary evolutionary-computation optimization-methods
Last synced: 8 days ago
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This repository contains my adaptation/implementation of the Parameter-less population pyramid (P3) optimization method. It is my solution to the second evolutionary computation challenge, organized at Wrocław University of Science and Technology.
- Host: GitHub
- URL: https://github.com/simonusher/p3-ag-challenge
- Owner: simonusher
- Created: 2021-05-07T18:50:12.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-05-09T12:04:16.000Z (about 5 years ago)
- Last Synced: 2025-02-25T20:43:09.520Z (over 1 year ago)
- Topics: binary, evolutionary-computation, optimization-methods
- Language: C++
- Homepage:
- Size: 11.2 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# P3 - my solution to the 2nd competition in evolutionary computation at WUST
This repository contains my adaptation/implementation of the Parameter-less population pyramid (P3) optimization method. It is my solution to the second evolutionary computation challenge, organized at Wrocław University of Science and Technology.
## The method
The method was published by Brian W. Goldman et al. in [this](https://dl.acm.org/doi/10.1145/2576768.2598350) paper. If you're interested in how the method works, go check it out. If you'd like to know how the authors implemented it, multiple versions are available [on Mr Goldman's GitHub profile](https://github.com/brianwgoldman?tab=repositories).