Machine Learning

Evolution Strategies From Scratch in Python

Evolution strategies is a stochastic global optimization algorithm.

It is an evolutionary algorithm related to others, such as the genetic algorithm, although it is designed specifically for continuous function optimization.

In this tutorial, you will discover how to implement the evolution strategies optimization algorithm.

After completing this tutorial, you will know:

  • Evolution Strategies is a stochastic global optimization algorithm inspired by the biological theory of evolution by natural selection.
  • There is a standard terminology for Evolution Strategies and two common versions of the algorithm referred to as (mu, lambda)-ES and (mu + lambda)-ES.
  • How to implement and apply the Evolution Strategies algorithm to continuous objective functions.

Let’s get started.