<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>X ways to implement tree structures for use in genetic programming</title>
        <link>https://tube.mucs.club/videos/watch/ecbd6dd3-3139-4e23-8552-49057b5ecaca</link>
        <description>"X ways to implement tree structures for use in genetic programming" by Gerard Choinka Abstract: GPM https://github.com/gchoinka/gpm is a genetic programming library in a very early stage. Since no one is pushing this to be a finished product, lets go in details and find the "best" tree structures. It benchmarks code aesthetics, runtime, compile size and compile time on gcc/clang for recursive variant, OOP, https://github.com/ldionne/dyno, static code generation of plain C++ or trees build from boost::hana::tuple. Event link: https://www.meetup.com/cppdug/events/256465435/</description>
        <lastBuildDate>Wed, 02 Sep 2026 06:11:51 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>PeerTube - https://tube.mucs.club</generator>
        <image>
            <title>X ways to implement tree structures for use in genetic programming</title>
            <url>https://tube.mucs.club/client/assets/images/icons/icon-1500x1500.png</url>
            <link>https://tube.mucs.club/videos/watch/ecbd6dd3-3139-4e23-8552-49057b5ecaca</link>
        </image>
        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://tube.mucs.club/about and potential licenses granted by each content's rightholder.</copyright>
        <atom:link href="https://tube.mucs.club/feeds/video-comments.xml?videoId=ecbd6dd3-3139-4e23-8552-49057b5ecaca" rel="self" type="application/rss+xml"/>
    </channel>
</rss>