Performance analysis of self - adaptive evolutionary computation methods

Swain, Anjan Kumar

dc.contributor.author	Swain, Anjan Kumar
dc.date.accessioned	2015-03-20T05:23:14Z
dc.date.available	2015-03-20T05:23:14Z
dc.date.issued	2007
dc.identifier.uri	http://hdl.handle.net/2259/283
dc.description.abstract	This paper concerns with detailed analysis of the performance of self-adaptive evolutionary computation algorithms.Various causes of premature convergence in these methods have been established. Subsequently, formulation of two new evolutionary algorithms has been discussed. The potentiality of these methods has been verified on eight popular test functions.	en_US
dc.language.iso	en	en_US
dc.publisher	Indian Institute of Management Kozhikode	en_US
dc.subject	Evolutionary computaion	en_US
dc.subject	Self - adaptive	en_US
dc.subject	Fast evolutionary computation	en_US
dc.subject	Dynamic lower bound	en_US
dc.title	Performance analysis of self - adaptive evolutionary computation methods	en_US
dc.type	Working Paper	en_US