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Project Log: Day 25 – Back to work
Alright, so a few days back, I did some numbers and concluded that… This thing as it is is somewhat CPU-intensive. I could (maybe I should) look into making the core component of the simulation work on GPU, probably. But this is a personal project and instead, I want to scale OUT instead, to… MORE…
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Project Log: Day 11 – Simplistic Policies
So after some (but not much) code-clean-up… I wanted to implement the part where my networks (I now have 5 different basic network setups I play with…) can have nodes with not only different values for “resistance to attack” (e.g. variable Beta) but also variable detection capacity (e.g. how fast do I detect and clean…
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Optimization (4/n): Genetic Algorithm(s) (2/3)
Intro This week, I’ll make it short, and instead of boring with code and explanations, I thought I’d just show an example output… Results This is a genetic algorithm in action: A population “evolves” (reproduces, “selection of the fittest”, iterate) towards an objective. Complexity of many local minima don’t seem to be an issue for…