Evolutionary Computation in High Energy Physics

TL;DR

This paper provides an overview of how evolutionary computation algorithms are applied in high energy physics, highlighting their potential for data analysis tasks in this specialized field.

Contribution

It introduces the main types of evolutionary algorithms and reviews their applications in high energy physics, a less explored area for these methods.

Findings

Evolutionary algorithms have been investigated for data analysis in high energy physics.

The paper reviews various types of evolutionary algorithms used in the field.

It aims to bridge the knowledge gap between evolutionary computation and high energy physics.

Abstract

Evolutionary Computation is a branch of computer science with which, traditionally, High Energy Physics has fewer connections. Its methods were investigated in this field, mainly for data analysis tasks. These methods and studies are, however, less known in the high energy physics community and this motivated us to prepare this lecture. The lecture presents a general overview of the main types of algorithms based on Evolutionary Computation, as well as a review of their applications in High Energy Physics.