Fine-tuning algorithm parameters using the design of experiments approach

• Main Authors: GUNAWAN, Aldy, LAU, Hoong Chuin, Lindawati, Linda
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: parameter tuning algorithm; design of experiments; response surface methodology; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering; Software Engineering; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/1338; https://ink.library.smu.edu.sg/context/sis_research/article/2337/viewcontent/FineTuningAlgorithmDoE_lion_2011.pdf
• Institution: Singapore Management University

Optimizing parameter settings is an important task in algorithm design. Several automated parameter tuning procedures/configurators have been proposed in the literature, most of which work effectively when given a good initial range for the parameter values. In the Design of Experiments (DOE), a goo...