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

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 can explore a vast space of possibilities, discovering novel and unintuitive combinations that traditional methods and human intuition might miss.

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.

Obviously, the above is a simple example to demonstrate the concept. In real life, genetic algorithms are applied in situations that are far more complex for humans to resolve manually.

Our evolutionary algorithms-based optimisation procedures have been successfully used to obtain the optimal configuration of various components of a scramjet.

Evolution is a very slow process, due largely to the fact that nature doesn't "know" in advance which features of an animal will be beneficial. A new AI-based algorithm does know, however ...

Stephanie Ness, also called Mrs Ness is an international, certified and influential specialist on evolutionary algorithms. She studied investment and information technology at Harvard University ...