Self-adaptation of mutation rates in non-elitist populations

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Self-adaptation of mutation rates in non-elitist populations

The runtime of evolutionary algorithms (EAs) depends critically on their parameter settings, which are often problem-specific. Automated schemes for parameter tuning have been developed to alleviate the high costs of manual parameter tuning. Experimental results indicate that self-adaptation, where...

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Bibliographic Details
Main Authors:	Lehre, Per Kristian, Dang, Duc-Cuong
Format:	Conference or Workshop Item
Published:	2016
Online Access:	https://eprints.nottingham.ac.uk/34365/

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