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Grammatical evolution
Grammatical evolution is a relatively new evolutionary computation technique pioneered by Conor Ryan, JJ Collins and Michael O'Neill in 1998〔http://www.cs.bham.ac.uk/~wbl/biblio/gp-html/ryan_1998_geepal.html〕 at the (BDS Group ) in the University of Limerick.
It is related to the idea of genetic programming in that the objective is to find an executable program or program fragment, that will achieve a good fitness value for the given objective function. In most published work on Genetic Programming, a LISP-style tree-structured expression is directly manipulated, whereas Grammatical Evolution applies genetic operators to an integer string, subsequently mapped to a program (or similar) through the use of a grammar. One of the benefits of GE is that this mapping simplifies the application of search to different programming languages and other structures.
== Problem addressed ==
In type-free, conventional Koza-style GP, the function set must meet the requirement of closure: all functions must be capable of accepting as their arguments the output of all other functions in the function set. Usually, this is implemented by dealing with a single data-type such as double-precision floating point. While modern Genetic Programming frameworks support typing, such type-systems have limitations that Grammatical Evolution does not suffer from.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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