If it feels like AI is developing too fast to keep up with, a group of Chinese researchers have some bad news – because ...
Abstract: Differential Evolution (DE) algorithm, as a state-of-the-art population-based stochastic optimizer for continuous non-convex search spaces, can adaptively balance exploration and ...
ABSTRACT: Surrogate-assisted evolutionary algorithms are widely used to solve expensive optimization problems due to their high search efficiency. However, a single model struggles to fit various ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...