abstract = "We propose a methodology to look at the fitness
contributions (semantics) of different schemata in
Genetic Programming (GP). We hypothesise that the
significance of a schema can be evaluated by
calculating its fitness contribution to the total
fitness of the trees that contain it, and use our
methodology to test this hypothesis. It is shown that
this method can also be used to identify schemata that
are important in terms of both individual runs and
individual problems (that is, schema that will be
important across many runs on a particular problem).
The usefulness of this study to existing schema
theories and its effective use in the detection of
introns, in the identification of potentially useful
modular functions are also discussed.",
notes = "GECCO-2005 A joint meeting of the fourteenth
international conference on genetic algorithms
(ICGA-2005) and the tenth annual genetic programming
conference (GP-2005).