My intention with this article is to give an intuitive and non-technical introduction to the field of evolutionary algorithms, particularly with regards to optimisation. If I get you interested, I ...

The Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion ...

Evolutionary algorithms are an interesting topic of study. Rather then relying on human ingenuity and investigation to create new designs, instead, an algorithm is given a target to achieve, and ...

Evolution has provided a source of inspiration for algorithm designers since the birth of computers. The resulting field, evolutionary computation, has been successful in solving engineering tasks ...

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

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

Evolutionary algorithms (EAs) have long provided a flexible framework for solving challenging optimisation problems by mimicking natural evolutionary processes. When combined with multitask ...

Don’t want to learn about evolutionary algorithms the usual way, by generating sentences from random letters, or randomly placing pixels to generate the Mona Lisa? Then make your own evolutio… ...

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.

This week IBM researchers announced a state-of-the-art AI model for studying neurodegenerative disorders using evolutionary algorithms instead of deep learning.