- author = "Eoin Murphy and Erik Hemberg and Miguel Nicolau and Michael O'Neill and Anthony Brabazon",
- title = "Grammar Bias and Initialisation in Grammar Based Genetic Programming",
- booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
- year = "2012",
- month = "11-13 " # apr,
- editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
- series = "LNCS",
- volume = "7244",
- publisher = "Springer Verlag",
- address = "Malaga, Spain",
- pages = "85--96",
- organisation = "EvoStar",
- isbn13 = "978-3-642-29138-8",
-
DOI = "
doi:10.1007/978-3-642-29139-5_8",
- size = "12 pages",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, TAG, TAGE, Grammar bias, Initialisation",
- abstract = "Preferential language biases which are introduced when using Tree-Adjoining Grammars in Grammatical Evolution affect the distribution of generated derivation structures, and as such, present difficulties when designing initialisation methods. Similar initial populations allow for a fairer comparison between different GP methods. This work proposes methods for dealing with these biases and examines their effect on performance over four well known benchmark problems. In addition, a comparison is performed with a previous study that did not employ similar phenotype distributions in their initial populations. It is found that the use of this form of initialisation has a positive effect on performance.",
-
notes = "TAG grammar uses up whole of chromosome.
Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",
