# Genetic Algorithm

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/genetic-algorithm

A genetic algorithm is an optimization and search technique inspired by natural selection, in which candidate solutions ('individuals') are represented as strings of parameters and evolved over generations through selection, crossover, and mutation. It is used by computer scientists, engineers, and data scientists to find good approximate solutions to complex optimization problems, such as scheduling, design optimization, and machine learning hyperparameter tuning, where traditional analytical methods are impractical. It is a subfield of evolutionary computation within artificial intelligence.

Related skills: [Machine Learning](https://career.thegoodapps.co/skills/machine-learning), [Neural Networks](https://career.thegoodapps.co/skills/neural-networks), [Hyperparameter Tuning](https://career.thegoodapps.co/skills/hyperparameter-tuning)

## Open roles requiring Genetic Algorithm (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.