Answers.Body: <p>In genetic algorithms, mutation without crossover simply means that part of the population is randomly changed. In this case this is applied to 25% of the population.</p>
  
  <p>The remaining 75% either remain unchanged (generally the best performing specimen), or will be combined with other specimen (using crossover). It's a bit more complex here, as the genome is connecting weights in networks, and they use 'species', where certain individuals are treated as separate groups from the rest of the population.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-04-18T18:00:44.933Z
Answers.LastActivityDate: 2020-04-18T18:00:44.933Z
Answers.UserDisplayName: Oliver Mason
Body: <p>I am reading through the <a href="http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf" rel="nofollow noreferrer">NEAT paper</a>. In parameter settings, page 15, there is:</p>
  
  <blockquote>
    <p>In each generation, 25% of offspring resulted from mutation without crossover.</p>
  </blockquote>
  
  <p>What does it mean?</p>
  
Tags: <papers><neat><crossover-operators><mutation-operators><genetic-operators>
Title: What does "In each generation, 25% of offspring resulted from mutation without crossover" mean in the context of NEAT?
UserDisplayName: galaxy001
ThreadText: # What does "In each generation, 25% of offspring resulted from mutation without crossover" mean in the context of NEAT?
  
  (Asked by: username_0 on 2020-04-18)
  
  I am reading through the [NEAT paper](http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf). In parameter settings, page 15, there is:
  
  > In each generation, 25% of offspring resulted from mutation without crossover.
  
  What does it mean?
  
  **Tags:** papers, neat, crossover-operators, mutation-operators, genetic-operators
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-04-18. Score: 2 | Accepted answer
  
  In genetic algorithms, mutation without crossover simply means that part of the population is randomly changed. In this case this is applied to 25% of the population.
  
  The remaining 75% either remain unchanged (generally the best performing specimen), or will be combined with other specimen (using crossover). It's a bit more complex here, as the genome is connecting weights in networks, and they use 'species', where certain individuals are treated as separate groups from the rest of the population.
  
  
  ---
  
  