Share your work.
NovaGenetica is a community resource, not a closed bookshelf. If you've built, written, or taught something in genetic algorithms or genetic programming, we'd love to feature it. This page is a standing, open invitation — send it in any time.
Everyone's welcome — beginners included.
Whether it's a polished journal paper or a weekend experiment, if it helps people learn or use evolutionary computation, it belongs here. A few kinds of work we'd especially love:
Papers & writeups
Research papers, preprints, theses, blog posts, and explainers — published or self-published. Free-to-read links are ideal.
Software & code
Libraries, frameworks, notebooks, demos, and example implementations. Open source preferred so others can run it.
Projects & applications
Real things you evolved — robots, art, designs, models, game agents, optimizers. Show us evolution at work, like SEED-Nav.
Tutorials & courses
Lessons, lecture notes, video series, and step-by-step guides — anything that helps newcomers get started.
Datasets & benchmarks
Test problems, benchmark suites, and datasets that let people compare evolutionary methods fairly.
Corrections & tips
Spotted an error, a dead link, or a resource we're missing? That's a contribution too — tell us and we'll fix it.
One email. That's the whole process.
There's no account, no form gauntlet, no paywall. Email the details and we'll review it and add what fits — with credit and a link back to you.
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Email us the work. Send a link (and a sentence or two on what it is) to [email protected]. Attach a PDF if that's easiest.
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Tell us how to credit you. Your name (or handle), and the link you'd like readers to follow — your site, repo, profile, or paper.
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We review and add it. We check that it's on-topic and the link works, write a short, honest description, and place it in the library.
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You stay the owner. We link to your work; we don't republish or claim it. Ask us to update or remove your entry any time.
Ready to share?
Email the link and a short description — we read every one.
Prefer to start by reading? Browse the library to see how entries are presented.