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westurneryesterday at 5:33 PM2 repliesview on HN

Genetic algorithm: https://en.wikipedia.org/wiki/Genetic_algorithm :

> Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems via biologically inspired operators such as selection, crossover, and mutation.

AP®/College Biology: https://www.khanacademy.org/science/ap-biology


Replies

westurneryesterday at 7:36 PM

AP®/College Biology > Unit 6: Gene Expression and Regulation > Lesson 6: Mutations: https://www.khanacademy.org/science/ap-biology/gene-expressi...

AP®/College Biology > Unit 7: Natural selection: https://www.khanacademy.org/science/ap-biology/natural-selec...

Rosalind.info has free CS algorithms applied bioinformatics exercises in Python; in a tree or a list; including genetic combinatorics. https://rosalind.info/problems/list-view/

FWICS there is not a "GA with code exercise" in the AP Bio or Rosalind curricula.

YouTube has videos of simulated humanoids learning to walk with mujoco and genetic algorithms that demonstrate goal-based genetic programming with Cost / Error / Fitness / Survival functions.

Mutating source code AST is a bit different from mutating to optimize a defined optimization problem with specific parameters; though the task is basically the same: minimize error between input and output, and then XAI.

westurneryesterday at 6:38 PM

Justifying that genetic algorithms are CS and Biology applied, which satisfies OT's implicit yearning