Monday, April 07, 2025
Links for "Evolutionary Algorithms" Lectures
Modeling Evolution
Introduction to Genetic Algorithms
Illustrating Evolutionary Computation with Mathematica
Genetic Algorithm Tutorial with Java Code
Genetic Algorithm Walkers
PyGAD - Python Genetic Algorithm and paper with details
Stanley, K.O. et al. [2019]. "Designing neural networks through neuroevolution". Nat Mach Intell 1, 24–35.
Genobots: Generative Representations for Design Automation
The Golem Project
Genetic Programming Resources
Annual "Humies" Awards For Human-Competitive Results Produced By Genetic And Evolutionary Computation
Eureqa models, part of DataRobot: a software tool for detecting equations and hidden mathematical relationships in data. Older version, also at softsea.com.
gplearn: Genetic Programming in Python
Biomorph demo and Python code
Icosystem - The Hunch Engine™
From Artificial Evolution to Artificial Life (1999), Tim Taylor's PhD Dissertation. Check his overview of open-ended evolution.
Evolved Open-Endedness, Not Open-Ended Evolution, By Howard Pattee and Hiroki Sayama
BEACON: Center for the Study of Evolution in Action. biologists, computer scientists, and engineers study evolution as it happens and apply this knowledge to solve real-world problems.
Introduction to Genetic Algorithms
Illustrating Evolutionary Computation with Mathematica
Genetic Algorithm Tutorial with Java Code
Genetic Algorithm Walkers
PyGAD - Python Genetic Algorithm and paper with details
Stanley, K.O. et al. [2019]. "Designing neural networks through neuroevolution". Nat Mach Intell 1, 24–35.
Genobots: Generative Representations for Design Automation
The Golem Project
Genetic Programming Resources
Annual "Humies" Awards For Human-Competitive Results Produced By Genetic And Evolutionary Computation
Eureqa models, part of DataRobot: a software tool for detecting equations and hidden mathematical relationships in data. Older version, also at softsea.com.
gplearn: Genetic Programming in Python
Biomorph demo and Python code
Icosystem - The Hunch Engine™
From Artificial Evolution to Artificial Life (1999), Tim Taylor's PhD Dissertation. Check his overview of open-ended evolution.
Evolved Open-Endedness, Not Open-Ended Evolution, By Howard Pattee and Hiroki Sayama
BEACON: Center for the Study of Evolution in Action. biologists, computer scientists, and engineers study evolution as it happens and apply this knowledge to solve real-world problems.
Labels: #Biomorphs, #evolution, #evolutionaryalgorithms, #evolutionaryComputation, #geneticAlgorithms, Class Links
