New Artificial Intelligence Study Results Reported from University of Minnesota (Taking the Human Out of Decomposition-based Optimization Via Artificial Intelli gence, Part I: Learning When To Decompose)
New Artificial Intelligence Study Results Reported from University of Minnesota (Taking the Human Out of Decomposition-based Optimization Via Artificial Intelli gence, Part I: Learning When To Decompose)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting originating from Min neapolis, Minnesota, by NewsRx correspondents, research stated, “In this paper, we propose a graph classification approach for automatically determining whether to use a monolithic or a decomposition -based solution method. In this approach , an optimization problem is represented as a graph that captures the structural and functional coupling among the variables and constraints of the problem via an appropriate set of features.”
Key words
Minneapolis/Minnesota/United States/N orth and Central America/Artificial Intelligence/Emerging Technologies/Machin e Learning/University of Minnesota
NETL
NSTL