@inproceedings{eurogp07:shin,
	title = {Analysing the Regularity of Genomes using Compression
                 and Expression Simplification},
	address = {Valencia, Spain},
	author = {Jungseok Shin and Moonyoung Kang and Bob McKay and Xuan Nguyen and Tuan-Hao Hoang and Naoki Mori and Daryl Essam},
	booktitle = {Proceedings of the 10th European Conference on Genetic
                 Programming},
	editor = {Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar},
	month = {11 - 13 April},
	pages = {251--260},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	volume = {4445},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/25620c1766ce3a4442081b8ac11ebfc64/brazovayeye},
	abstract = {We propose expression simplification and tree
                 compression as aids in understanding the evolution of
                 regular structure in Genetic Programming individuals.
                 We apply the analysis to two previously-published
                 algorithms, which aimed to promote regular and repeated
                 structure. One relies on subtree duplication operators,
                 the other uses repeated evaluation during a
                 developmental process. Both successfully generated
                 solutions to difficult problems, their success being
                 ascribed to promotion of regular structure. Our
                 analysis modifies this ascription: the evolution of
                 regular structure is more complex than anticipated, and
                 the success of the techniques may have arisen from a
                 combination of promotion of regularity, and other, so
                 far unidentified, effects.},
	isbn = {3-540-71602-5}, isbn13 = {978-3-540-71602-0}, notes = {Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and
                 EvoWorkshops2007}, doi = {doi:10.1007/978-3-540-71605-1_23},
	keywords = {algorithms, genetic programming }
}