Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Abstract: Many-task differential evolutionary (DE) algorithm is an effective way to optimize multiple tasks simultaneously. The optimization performance of the algorithm decreases due to the negative ...

Share on Pinterest Human brain cell evolution may be linked to autism, neurodiversity, according to a new study. Image credit: Lauren Lee/Stocksy A new study concludes that the speed at which the ...

Ella Al-Shamahi is the host of “Human,” premiering on PBS this month. As an 18-year-old Muslim missionary, I enrolled at University College London intent on destroying the theory of evolution. Today, ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

An updated evolutionary model shows that living systems evolve in a split-and-hit-the-gas dynamic, where new lineages appear in sudden bursts rather than during a long marathon of gradual changes.

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

A new study by researchers at the Max Planck Institute for Evolutionary Biology (MPI-EB) sheds fresh light on one of the most debated concepts in biology: evolvability. The work provides the first ...

Rob Brooks receives funding from the Australian Research Council. What will humans be like generations from now in a world transformed by artificial intelligence (AI)? Plenty of thinkers have applied ...