@inproceedings{94928e7396f74fde8173881b8484a6d0,
title = "Evaluating GP schema in context",
abstract = "We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize 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 in this paper.",
keywords = "Module Acquisition, Schema Theory, Tree Semantics",
author = "Hammad Majeed and Conor Ryan and {Muhammad Atif Azad}, R.",
year = "2005",
doi = "10.1145/1068009.1068304",
language = "English",
isbn = "1595930108",
series = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
pages = "1773--1774",
editor = "H.G. Beyer and U.M. O'Reilly and D. Arnold and W. Banzhaf and C. Blum and E.W. Bonabeau and E. Cantu-Paz and D. Dasgupta and K. Deb and {et al}, al",
booktitle = "GECCO 2005 - Genetic and Evolutionary Computation Conference",
note = "GECCO 2005 - Genetic and Evolutionary Computation Conference ; Conference date: 25-06-2005 Through 29-06-2005",
}