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.

Evolutionary strategies take it a step further by comparing slightly different versions of the algorithm to each other and then selecting for the more successful one.

Posted in Software Development Tagged blackjack, evolutionary algorithm ← There’s Something Strange About This Game Boy How 6502 Overflow Works → ...

In what appears to be the first study of its kind, computer scientists report that an algorithm discovered more than 50 years ago in game theory and now widely used in machine learning is ...

It turns out that 155 years after Charles Darwin first published “On the Origin of Species,” vexing questions remain about key aspects of evolution, such as how sexual recombination and natural ...

In recent times computational algorithms inspired by biological processes and evolution are gaining much popularity for solving science and engineering problems. These algorithms are broadly ...

Why hasn’t evolutionary computation been adopted? The commercial sector hasn’t embraced evolutionary computation as it has other technologies developed by researchers.

Instead of pitting God against science, the emerging spat centres on evolutionary algorithms (EAs), which mimic the processes of natural selection and random mutation by “breeding”, selecting ...