Toward large-scale continuous EDA: A random matrix theory perspective

Toward large-scale continuous EDA: A random matrix theory perspective

© 2016 by the Massachusetts Institute of Technology. Estimations of distribution algorithms (EDAs) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are...

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書目詳細資料
Main Authors:	Kabán A., Bootkrajang J., Durrant R.
格式:	雜誌
出版:	2017
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84974783455&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41849
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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