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Genetic representation and operator design

April 30, 2020

This class is an inverted class where students will prepare presentations on different articles. These articles showcase a variety of genetic representations and evolutionary operators such as specialized mutation, crossover, and selection methods. The student presentations will be followed by a discussion led by Sylvain Cussat-Blanc. Each team should prepare a video presentation of 20-25 minutes on their assigned article and send a link to the video to me and Sylvain by noon on Wednesday, April 29th.

Topics

  1. Automated Antenna Design with Evolutionary Algorithms
  2. [Cellular Encoding Applied to Neurocontrol](articles/2_Cellular encoding.pdf)
  3. Evolving Neural Networks through Augmenting Topologies
  4. [Artificial Regulatory Networks and Genetic Programming](articles/4_String GRN.pdf)
  5. Gene Regulatory Network Evolution Through Augmenting Topologies
  6. [Automated Software Transplantation](articles/6_Genetic Improvement.pdf)
  7. Environment-driven Open-ended Evolution with a Population of Autonomous Robots