| Evolutionary Programming |
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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 or ( Representation ), in contrast with some of the other dialects. It is becoming harder to distinguish from Evolutionary Strategies . Some of its original variants are quite similar to the later Genetic Programming , except that the program structure is fixed and its numerical parameters are allowed to evolve. Its main variation operator is Mutation ; 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
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