Simple Genetic Algorithm From Scratch in Python
The genetic algorithm is a stochastic global optimization algorithm.
It may be one of the most popular and widely known biologically inspired algorithms, along with artificial neural networks.
The algorithm is a type of evolutionary algorithm and performs an optimization procedure inspired by the biological theory of evolution by means of natural selection with a binary representation and simple operators based on genetic recombination and genetic mutations.
In this tutorial, you will discover the genetic algorithm optimization algorithm.
After completing this tutorial, you will know:
- Genetic algorithm is a stochastic optimization algorithm inspired by evolution.
- How to implement the genetic algorithm from scratch in Python.
- How to apply the genetic algorithm to a continuous objective function.
Let’s get started.