@inproceedings{eurogp07:vanneschi,
	title = {A Comprehensive View of Fitness Landscapes with
                 Neutrality and Fitness Clouds},
	address = {Valencia, Spain},
	author = {Leonardo Vanneschi and Marco Tomassini and Philippe Collard and S\'ebastien Verel and Yuri Pirola and Giancarlo Mauri},
	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 = {241--250},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	volume = {4445},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2c40f6ed6b3646a2cfce60975c0175b42/brazovayeye},
	abstract = {We define a set of measures that capture some
                 different aspects of neutrality in evolutionary
                 algorithms fitness landscapes from a qualitative point
                 of view. If considered all together, these measures
                 offer a rather complete picture of the characteristics
                 of fitness landscapes bound to neutrality and may be
                 used as broad indicators of problem hardness. We
                 compare the results returned by these measures with the
                 ones of negative slope coefficient, a quantitative
                 measure of problem hardness that has been recently
                 defined and with success rate statistics on a well
                 known genetic programming benchmark: the multiplexer
                 problem. In order to efficaciously study the search
                 space, we use a sampling technique that has recently
                 been introduced and we show its suitability on this
                 problem.},
	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_22},
	keywords = {algorithms, genetic programming }
}