Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case study in Quadratic Assignment Problem

• المؤلفون الرئيسيون: LINDAWATI, Linda, Yuan, Zhi, LAU, Hoong Chuin, ZHU, Feida
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2013
• الموضوعات: automated parameter tuning; instance-specific parameter configuration; parameter search space reduction; large instance parameter tuning; Artificial Intelligence and Robotics; Business; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/1657; https://ink.library.smu.edu.sg/context/sis_research/article/2656/viewcontent/Lindawati_Yuan_Lau_Zhu_Automated_20Parameter_20Tuning.pdf
• المؤسسة: Singapore Management University

This paper is concerned with automated tuning of parameters of algorithms to handle heterogeneous and large instances. We propose an automated parameter tuning framework with the capability to provide instance-specific parameter configurations. We report preliminary results on the Quadratic Assignme...