Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

Two of artificial intelligence’s most powerful yet fundamentally different tools are quietly merging, and a new open-access scientometric review has, for the first time, mapped exactly how fast, how b ...

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 ...

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

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 ...

Research published in Nature Ecology & Evolution introduces a novel method for inferring DNA methylation patterns in non-skeletal tissues from ancient specimens, providing new insights into human ...

Optimization problems rarely have a single right answer. In engineering design, scheduling, and machine learning, decision ...

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 ...

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 ...

Imagine a very complex problem—supply chain optimization, for example—in which a computer generates millions of trial solutions completely at random and then ...

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 ...