Skip to content
View jessicamegane's full-sized avatar
35 followers · 72 following

Achievements

Achievement: Pull Sharkx2

Achievements

Achievement: Pull Sharkx2

Highlights

  • Pro
Block or Report

Block or report jessicamegane

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jessicamegane/README.md

Hello there, I'm Jessica Mégane 👋

I am a PhD student at the University of Coimbra, where I am a researcher at the Evolutionary and Complex Systems group at CISUC being my main research interest Evolutionary Computation. My main research interest is in developing probabilistic variants of Grammatical Evolution, which involves exploring the use of probability distributions to improve the performance of this popular evolutionary algorithm.

I'm also the author of several papers on this topic, which you can find in my GitHub profile along with the source code. Here are some of my publications:

  • 📄 Jessica Mégane, Nuno Lourenço, Penousal Machado, Probabilistic Grammatical Evolution (EuroGP 2021) - In this paper, we introduce a new probabilistic variant of Grammatical Evolution and demonstrate its effectiveness on several benchmark problems. You can find the source code for this algorithm in my GitHub repository here.

  • 📄 Jessica Mégane, Nuno Lourenço, Penousal Machado, Probabilistic Structured Grammatical Evolution, IEEE Congress on Evolutionary Computation (CEC 2022) - In this paper, we further refine the approach of Probabilistic Grammatical Evolution by incorporating a structured representation based on Structured Grammatical Evolution, that allows for the evolution of more complex solutions. You can find the source code for this algorithm in my GitHub repository here.

  • 📄 Jessica Mégane, Nuno Lourenço, Penousal Machado, Co-evolutionary Probabilistic Structured Grammatical Evolution (GECCO 2022) - In this paper, we extend the previous work on Probabilistic Grammatical Evolution by introducing a co-evolutionary approach that allows for the evolution of the individuals at the same time as a grammar with probabilities. This is currently the best proposed method in terms of performance. You can find the source code for this algorithm in my GitHub repository here.

If you're interested in learning more about my work, feel free to send me an e-mail or reach out to me on Twitter @malganius. Thanks for stopping by!

Pinned Loading

  1. co-psge co-psge Public

    Forked from nunolourenco/sge3

    Implementation of Co-PSGE Algorithm

    Python 8 2

  2. psge psge Public

    Probabilistic Structured Grammatical Evolution python3 code

    Python 5 2

  3. pge pge Public

    Probabilistic Grammatical Evolution code

    Python 3 1

  4. FireflySynchronization FireflySynchronization Public

    Project attempt to make a model of firefly flash synchronisation.

    Python 1

  5. MultiplePopulations MultiplePopulations Public

    Comparison between Multi-Population Migration and Random Immigrants Algorithms

    Python 1

  6. joao-f-almeida-alb/rdf-with-Onto.PT-and-SentiLex-data joao-f-almeida-alb/rdf-with-Onto.PT-and-SentiLex-data Public

    1