Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...

Tuning of parameters is a very important but complex issue in the Evolutionary Algorithms’ design. The paper discusses the new, based on the Fuzzy Logic concept of tuning mutation size in these ...

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 ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for ...