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 ...

IBM researchers unveil quantum algorithm achieving potential exponential speedup for solving chaotic differential equations, with implications for fusion energy and climate modeling. IBM researchers ...

Abstract: Differential evolution exhibits strong performance in real parameter single objective optimization. Ensemble of similar differential evolution algorithms has been proposed in literature.

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 ...

The process of evolution usually takes thousands, millions or even billions of years. But researchers have found a way to condense it into a matter of minutes using a method called 'directed evolution ...

The world of Artificial Intelligence (AI) is constantly evolving, with researchers seeking inspiration from various sources to create more intelligent and efficient algorithms. One particularly ...