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

• 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
• Subjects: Artificial Intelligence and Robotics; Computer Sciences; Operations Research, Systems Engineering and Industrial Engineering
• 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
• Institution: Singapore Management University

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...