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Evolutionary Programming




It was first used by Lawrence J. Fogel in 1960 in order to use simulated Evolution as a learning process aiming to generate Artificial Intelligence . Fogel used Finite State Machine s as predictors and evolved them.

Currently evolutionary programming is a wide evolutionary computing dialect with no fixed structure, ( Representation ), in contrast with the other three dialects. It's becoming harder to distinguish it from Evolutionary Strategies

It's main variation operator is Mutation since members of the population are viewed as part of a specific species rather than members of the same species therefore each parent generates an offspring, using a (μ + μ) Survivor Selection .


REFERENCES

  • Fogel, L.J., Owens, A.J., Walsh, M.J. (1966), ''Artificial Intelligence through Simulated Evolution'', John Wiley.

  • Eiben, A.E., Smith, J.E. (2003), ''Introduction to Evolutionary Computing'', Springer.



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