Evolutionary algorithms

Grammatical evolution

Grammatical evolution (GE) is an evolutionary computation and, more specifically, a genetic programming (GP) technique (or approach) pioneered by Conor Ryan, JJ Collins and Michael O'Neill in 1998 at the BDS Group in the University of Limerick. As in any other GP approach, the objective is to find an executable program, program fragment, or function, which will achieve a good fitness value for a given objective function. In most published work on GP, a LISP-style tree-structured expression is directly manipulated, whereas GE applies genetic operators to an integer string, subsequently mapped to a program (or similar) through the use of a grammar, which is typically expressed in Backus–Naur form. One of the benefits of GE is that this mapping simplifies the application of search to different programming languages and other structures. (Wikipedia).

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From playlist Genetics and Evolution

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From playlist Evolution Collaboration

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From playlist Introduction to Linguistics

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From playlist Introduction to Linguistics

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From playlist Introduction to Linguistics

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From playlist Summer of Math Exposition Youtube Videos

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From playlist History of the English Language

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From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop

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From playlist English Grammar

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From playlist The Internet

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Related pages

Particle swarm optimization | Backus–Naur form | Multi expression programming | Cartesian genetic programming | Linear genetic programming | R (programming language) | Evolutionary computation | Gene expression programming | Java Grammatical Evolution | Genetic programming | Genetic operator