---
title: "Evolutionary programming"
chunk: 1/1
source: "https://en.wikipedia.org/wiki/Evolutionary_programming"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T11:33:18.863515+00:00"
instance: "kb-cron"
---

Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover. Evolutionary programming differs from evolution strategy ES(
  
    
      
        μ
        +
        λ
      
    
    {\displaystyle \mu +\lambda }
  
) in one detail. All individuals are selected for the new population, while in ES(
  
    
      
        μ
        +
        λ
      
    
    {\displaystyle \mu +\lambda }
  
), every individual has the same probability to be selected. It is one of the four major evolutionary algorithm paradigms.


== History ==
It was first used by Lawrence J. Fogel in the US in 1960 in order to use simulated evolution as a learning process aiming to generate artificial intelligence. It was used to evolve finite-state machines as predictors.


== See also ==
Genetic algorithm
Genetic operator


== References ==


== External links ==
The Hitch-Hiker's Guide to Evolutionary Computation: What's Evolutionary Programming (EP)?
Evolutionary Programming by Jason Brownlee (PhD) Archived 2013-01-18 at the Wayback Machine