In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors. Understanding the ...

A team led by Prof Frank Glorius from the Institute of Organic Chemistry at the University of Münster has developed an evolutionary algorithm that identifies the structures in a molecule that are ...

Constrained evolutionary optimisation algorithms extend population-based metaheuristics to problems in which candidate solutions must satisfy explicit constraints. These methods are inspired by ...

Parameter tuning in evolutionary algorithms is the process of selecting appropriate values for control parameters—such as population size, crossover rate and mutation rate—to optimise search ...

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 ...

Evolution is a very slow process, due largely to the fact that nature doesn't "know" in advance which features of an animal will be beneficial. A new AI-based algorithm does know, however, allowing it ...

Evolution has led to some creative, counterintuitive, and downright weird properties in the natural world. Evolution-inspired algorithms produced synthetic materials with equally surprising traits, a ...