recent
Math, computing systems and code. I write to sort out what I learn and to keep a record of what I don't want to deduce again.
What does a distributed genetic algorithm gain when the search landscape is small, rugged and deceptive? I evolved turmites with an asynchronous island-model GA over TCP in Rust, logged every generation and published the experiment and the paper.
Two rules, two colors and an ant that ends up building a highway: how global behavior emerges from local decisions.
Selection, crossover and mutation: how a population of solutions improves without gradients, and why it is not a magic wand.
now Simulating Langton's ant and tuning a genetic algorithm.