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 ...

Modern humans descended from not one, but at least two ancestral populations that drifted apart and later reconnected, long before modern humans spread across the globe. Using advanced analysis based ...

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 ...

Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...

Evolutionary algorithms constitute a class of population-based metaheuristic methods inspired by the mechanisms of natural selection, genetic variation and survival of the fittest. By iteratively ...

TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on ...