Genetic Algorithms Papers

This is a non exhausive list of interesting papers to start with. They're mostly very interesting to read, albeit at a fair level of complexity. By "reference hopping", you should be able to get your foot in the door of accademic research quite easily.

• Methods of Combining Neural Networks with Genetic Algorithms
  author: Talib S. Hussain
  resume: A short tutorial like paper describing solutions and
  options used to combine NN and GA, including supportive
  and collaborative approaches.
  url: http://citeseer.nj.nec.com/80900.html
  rating: 50
  votes: 12

  Rate this resource!

• Co-Evolution and Genetic Algorithms
  author: Jason Morrison
  resume: Extensive Masters thesis describing the use of
  co-evolution to prevent genetic drift and maintain
  population diversity.
  url: http://citeseer.nj.nec.com/morrison98coevolution.html
  rating: 21
  votes: 6

  Rate this resource!

• When Will a Genetic Algorithm Outperform Hill Climbing?
  author: M. Mitchell, J. Holland, S. Forrest
  resume: Given a specific problem, this paper analyses when it is
  best to use HC, what features lead this other approach
  to dominate the GA, and how they can be incorporated.
  url: http://citeseer.nj.nec.com/mitchell93when.html
  rating: 29
  votes: 9

  Rate this resource!

Back to the Genetic Algorithms Warehouse.