Global optimisation techniques encompass a broad spectrum of methodologies aimed at locating the absolute minimum or maximum of complex functions, often characterised by multiple local extrema. These ...

Due to the NP -hardness of many machine learning problems such as clustering, decision tree, and neural network, one primary belief is that solving ML problems to global optimality is computationally ...

Russian scientists from Lobachevsky State University of Nizhni Novgorod have improved the method of global optimization by offering the so-called "diagonal approach." The goal of global optimization ...

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They ...