Difference between revisions of "Evolutionary Computation / Genetic Algorithms"
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* [[Reinforcement Learning (RL)]] | * [[Reinforcement Learning (RL)]] | ||
* [http://pathmind.com/wiki/evolutionary-genetic-algorithm A Beginner's Guide to Genetic & Evolutionary Algorithms | Chris Nicholson - A.I. Wiki pathmind] | * [http://pathmind.com/wiki/evolutionary-genetic-algorithm A Beginner's Guide to Genetic & Evolutionary Algorithms | Chris Nicholson - A.I. Wiki pathmind] | ||
| + | * [http://bookdown.org/max/FES/genetic-algorithms.html Feature Engineering and Selection: A Practical Approach for Predictive Models -12.3 Genetic Algorithms | Max Kuhn and Kjell Johnson] | ||
Revision as of 07:17, 1 June 2020
Youtube search... ...Google search
- Architectures
- TPOT - automates the building of ML pipelines by combining a flexible expression tree representation of pipelines with stochastic search algorithms such as genetic programming.
- Neural Architecture Search (NAS) with Evolution | Wikipedia
- ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO)
- Publication - Evolving Artificial Intelligence Laboratory | University of Wyoming
- NeuroEvolution of Augmenting Topologies (NEAT)
- Topology and Weight Evolving Artificial Neural Network (TWEANN)
- 2017: The Year of Neuroevolution | Grigory Sapunov
- Other Challenges in Artificial Intelligence
- Reinforcement Learning (RL)
- A Beginner's Guide to Genetic & Evolutionary Algorithms | Chris Nicholson - A.I. Wiki pathmind
- Feature Engineering and Selection: A Practical Approach for Predictive Models -12.3 Genetic Algorithms | Max Kuhn and Kjell Johnson
Nature
Evolution of Mind
