Non-linearity measure of a problem's crossover suitability

Mason, Andrew

dc.contributor.author	Mason, Andrew	en
dc.date.accessioned	2009-06-16T01:52:25Z	en
dc.date.available	2009-06-16T01:52:25Z	en
dc.date.issued	1995	en
dc.identifier.citation	Proceedings of the 1995 IEEE International Conference on Evolutionary Computation. Perth, Australia, 68-73. (1995)	en
dc.identifier.uri	http://hdl.handle.net/2292/4369	en
dc.description	An open access copy of this article is available and complies with the copyright holder/publisher conditions.	en
dc.description.abstract	For any problem with an unknown fitness function, justification of an evolutionary algorithm as a research method necessarily relies upon conjectures about that fitness function. This paper formulates apparent crossover partition coefficients (a generalisation of Walsh transforms) and uses these to develop a new model of crossover non-linearity ratios. Experimental runs demonstrate that this theory can offer insights into the apparent tractability of problems under crossover	en
dc.publisher	IEEE	en
dc.relation.ispartof	Proceedings of the IEEE Conference on Evolutionary Computation	en
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dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.title	Non-linearity measure of a problem's crossover suitability	en
dc.type	Conference Paper	en
dc.subject.marsden	Fields of Research::290000 Engineering and Technology	en
dc.identifier.doi	10.1109/ICEC.1995.489121	en
pubs.begin-page	68-73.	en
dc.description.version	VoR - Version of Record	en
dc.rights.holder	Copyright IEEE	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en