Answers.Body: <p>Both Evolutionary/Genetic Algorithms and Symbolic AI are not dead:</p>
  <ul>
  <li>GAs are widely used for hyper-parameter optimization (see <a href="https://arxiv.org/pdf/1711.09846.pdf" rel="nofollow noreferrer">population-based training</a>), and even in <a href="https://arxiv.org/pdf/1712.06567.pdf" rel="nofollow noreferrer">reinforcement learning</a> (see <a href="https://arxiv.org/pdf/1604.00772.pdf" rel="nofollow noreferrer">CMA-ES</a> use in <a href="https://arxiv.org/pdf/1803.10122.pdf" rel="nofollow noreferrer">world models</a>).</li>
  <li>Symbolic AI is actually evolving towards combining it with deep learning. For example, <a href="https://nips.cc/virtual/2022/tutorial/55804" rel="nofollow noreferrer">Neurosymbolic programming</a> allows to search for programs and even embed prior knowledge. These is also a sub-field called <em>library learning</em> that uses a neural-net based-search to find subroutines, which in turn are used to yield better programs. Similarly, there is <a href="https://github.com/MilesCranmer/PySR" rel="nofollow noreferrer">symbolic regression</a> that aims to find a math expression representing the regression model, as an interpretable alternative to ML/DL regressors.</li>
  </ul>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-06-02T10:37:37.660Z
Answers.LastActivityDate: 2023-06-02T10:37:37.660Z
Answers.UserDisplayName: Luca Anzalone
Body: <p>I am just wondering if evolutionary algorithm (e.g., genetic algorithm, ant colony optimization, swarm optimization, etc.) dead as same as symbolic AI.</p>
  <p>Can you give me the latest situation as of June 2023?</p>
  <p>Is rsearch still going on on evolutionary algorithm?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-06-02T07:26:37.973Z
Comments.Text: Symbolic AI isn't dead. Just because something else is in fashion right now doesn't mean everything else is thrown in the bin...
Comments.UserDisplayName: Oliver Mason
Tags: <evolutionary-algorithms>
Title: Is evolutionary algorithm dead as same as symbolic AI?
UserDisplayName: user366312
ThreadText: # Is evolutionary algorithm dead as same as symbolic AI?
  
  (Asked by: username_0 on 2023-06-02)
  
  I am just wondering if evolutionary algorithm (e.g., genetic algorithm, ant colony optimization, swarm optimization, etc.) dead as same as symbolic AI.
  
  Can you give me the latest situation as of June 2023?
  
  Is rsearch still going on on evolutionary algorithm?
  
  **Tags:** evolutionary-algorithms
  > **Comments:**
  > **username_1**: Symbolic AI isn't dead. Just because something else is in fashion right now doesn't mean everything else is thrown in the bin...  
  
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  ## 1 answers
  
  ### Answer by username_2 on 2023-06-02. Score: 3
  
  Both Evolutionary/Genetic Algorithms and Symbolic AI are not dead:
  
  * GAs are widely used for hyper-parameter optimization (see [population-based training](https://arxiv.org/pdf/1711.09846.pdf)), and even in [reinforcement learning](https://arxiv.org/pdf/1712.06567.pdf) (see [CMA-ES](https://arxiv.org/pdf/1604.00772.pdf) use in [world models](https://arxiv.org/pdf/1803.10122.pdf)).
  * Symbolic AI is actually evolving towards combining it with deep learning. For example, [Neurosymbolic programming](https://nips.cc/virtual/2022/tutorial/55804) allows to search for programs and even embed prior knowledge. These is also a sub-field called *library learning* that uses a neural-net based-search to find subroutines, which in turn are used to yield better programs. Similarly, there is [symbolic regression](https://github.com/MilesCranmer/PySR) that aims to find a math expression representing the regression model, as an interpretable alternative to ML/DL regressors.
  
  
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