Researchers have combined two classical routing problems into a new capacitated rural Chinese postman model and used a genetic algorithm to optimize road salting routes across the winter streets of ...

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 ...

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 ...

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 ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...

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 ...