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

[Henrik] has been working on a program to design electronic circuits using evolutionary algorithms. It’s still very much a work in progress, but he’s gotten to the point of generating a… ...

“Evolution is the true innovation machine,” says Professor Arnold, explaining that nature’s design works like a powerful algorithm that can scale from molecules to entire eco-systems.

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.

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 ...

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.