About this document

Overview of Evolution Strategies in Optimization by Maycon Maran is a document available to read on EtoBox.

Evolution strategies (ES) are evolutionary algorithms developed in the 1970s for numerical optimization problems. ES typically uses real-valued vectors as chromosomes and mutates them with Gaussian perturbations. A distinctive feature of ES is that it self-adapts the mutation step sizes, which are also encoded in the chromosomes and subject to mutation. Historical examples demonstrate how ES can optimize shapes through random mutations and selection, such as improving the shape of a jet nozzle.

Author

Maycon Maran

Language

EN