An Empirical Study of Off-line Configuration and On-line Adaptation in Operator Selection

Automating the process of finding good parameter settings is important in the design of high-performing algorithms. These automatic processes can generally be categorized into off-line and on-line methods. Off-line configuration consists in learning and selecting the best setting in a training phase...

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Bibliographic Details
Main Authors: YUAN, Zhi, HANDOKO, Stephanus Daniel, NGUYEN, Duc Thien, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/sis_research/2664
https://ink.library.smu.edu.sg/context/sis_research/article/3664/viewcontent/LION2014_EmpStudyOffLineConfig.pdf
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Institution: Singapore Management University
Language: English

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