Math & Optimization · intermediate · concept 48 of 176

📐Evolutionary & Swarm Optimization

Optimization by natural selection: keep a population of candidate solutions, score them with a fitness function, breed and mutate the winners. Genetic algorithms, genetic programming, and particle swarms search spaces gradients cannot touch, which is why neuroevolution keeps resurfacing for architecture search and game agents.