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 ...

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 algorithms present a flexible, adaptive alternative to AI deep learning, and are currently being used in computational neuroscience to accelerate the scientific understanding of the ...

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

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 ...

Cornell University. "Virtual, squishy creatures evolve to run using evolutionary algorithms." ScienceDaily. ScienceDaily, 23 April 2013. <www.sciencedaily.com / releases / 2013 / 04 / 130423135843 ...

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 algorithms are called “evolutionary” because the characteristics of evolution – mutation, recombination and selection – form the basis of their search for promising solutions.

The evolutionary approach is a powerful alternative that can be applied in a wide set of situations. Indeed, some researchers have begun to use it to evolve better deep-learning machines.