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 ...

A new ensemble machine learning-based prediction mechanism reinitializes evolutionary algorithm populations after ...

Population-based optimisation algorithms typically decide which candidate solutions survive using only their fitness at the current iteration, discarding all earlier performance information. This ...

Researchers have developed an exact fixed-parameter algorithm and a fast heuristic for deciding whether undirected ...

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 ...

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 ...

This benchmark tests quantum algorithms—cooling, adiabatic, and optimization—with realistic noise, using quadratic fermionic ...