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Computer programs in GP can be written in a variety of to generate programs that fully exploit the syntax of a given assembly language. GP is very computationally intensive and so in the 1990s it was mainly used to solve relatively simple problems. However, more recently, thanks to various improvements in GP technology and to the well known , electronic design, game playing, sorting, searching and many more. These results include the replication or infringement of several post-year-2000 inventions, and the production of two patentable new inventions. Developing a theory for GP has been very difficult and so in the 1990s genetic programming was considered a sort of pariah amongst the various techniques of search. However, after a series of breakthroughs in the early 2000s, the theory of GP has had a formidable and rapid development. So much so that it has been possible to build exact probabilistic models of GP (schema theories and Markov Chain models) and to show that GP is more general than, and in fact includes, Genetic Algorithm s. Genetic Programming techniques have now been applied to Evolvable Hardware as well as computer programs. Meta-Genetic Programming is the technique of evolving a genetic programming system using genetic programming itself. Critics have argued that it is theoretically impossible, but more research is needed. SEE ALSO Genetic Representation BIBLIOGRAPHY
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