Evolutionary programming
Evolutionary programming is an evolutionary algorithm used to evolve finite-state machines as predictors.[1] It is one of the four major evolutionary algorithm paradigms.[2]
It was first used by Lawrence J. Fogel in the US in 1960 in order to use simulated evolution as a learning process aiming to generate artificial intelligence.[3]
See also
[edit]References
[edit]- ^ Abraham, Ajith; Nedjah, Nadia; Mourelle, Luiza de Macedo (2006). "Evolutionary Computation: from Genetic Algorithms to Genetic Programming". Genetic Systems Programming: Theory and Experiences. Springer: 1–20. doi:10.1007/3-540-32498-4_1.
- ^ Brameier, Markus (2004). "On Linear Genetic Programming". Dissertation. Retrieved 27 December 2024.
- ^ "Artificial Intelligence through Simulated Evolution". Evolutionary Computation. 2009. doi:10.1109/9780470544600.ch7.
External links
[edit]- The Hitch-Hiker's Guide to Evolutionary Computation: What's Evolutionary Programming (EP)?
- Evolutionary Programming by Jason Brownlee (PhD) Archived 2013-01-18 at the Wayback Machine
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