Research from all publishers Recent studies have demonstrated significant progress in the development of evolutionary multitask optimisation algorithms. For example, new approaches have introduced ...

However, it is difficult to predict which of the available methods is best suited to answer a specific question – for example, to determine whether a chemical compound is harmful to humans. The new ...

Constantly "re-rolling the dice", combining and selecting: "Evolutionary algorithms" mimic natural evolution in silico and lead to innovative solutions for complex problems.

For example, computer scientists have intensively studied how evolutionary computation could be used to schedule exam timetables or working out routes for vehicles.

Evolutionary algorithm outperforms deep-learning machines at video games Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings.

AI vendor NNAISENSE today announced the formal release of its EvoTorch open-source evolutionary algorithm technology.

FANDANGO, a new open-source fuzzing tool, uses an evolutionary algorithm to automatically generate myriads of high-quality test inputs that satisfy defined constraints. Advancing language-based ...

"Evolutionary algorithms start out with a randomly generated population of from 50 to 500 candidate solutions. At each time step, or generation, all the individuals are evaluated and assigned a ...

Over the past fifteen years, the implementation of the minimum degree algorithm has received much study, and many important enhancements have been made to it. This paper describes these various ...