Designing a portfolio of parameter configurations for online algorithm selection

• Main Authors: GUNAWAN, Aldy, LAU, Hoong Chuin, MISIR, Mustafa
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2015
• 主題: Artificial intelligence; Combinatorial optimization; Design of experiments; OptimizationParameter estimation; Problem solving; Simulated annealing; Tabu search; Traveling salesman problem; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering; Theory and Algorithms
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/2851; https://ink.library.smu.edu.sg/context/sis_research/article/3851/viewcontent/DesignPortfolioParameterConfigOnlineAlgor_2015_AAAI.pdf
• 機構: Singapore Management University

Algorithm portfolios seek to determine an effective set of algorithms that can be used within an algorithm selection framework to solve problems. A limited number of these portfolio studies focus on generating different versions of a target algorithm using different parameter configurations. In this...