When Genetic Algorithms Meet Artificial Intelligence

I just heard from those clever chaps and chapesses at Algolux, who tell me they are using an evolutionary algorithm approach in their Atlas Camera Optimization Suite, which -- they say -- is the industry's first set of machine-learning tools and workflows that can automatically optimize camera architectures intended for computer vision applications. As we will see, this is exciting on many levels, not the least that it prompted me to start cogitating, ruminating, and musing on the possibilities that might ensue from combining evolutionary algorithms (EAs) and genetic algorithms (GAs) with artificial intelligence (AI). But before we plunge headfirst into the fray with gusto and abandon (and aplomb, of course), let's remind ourselves that not everyone may be as familiar with things like genetic algorithms as you and yours truly, so let's take a slight diversion to bring everyone up to speed. Personally, I find the entire concept of genetic algorithms to be tremendously exciting. John Henry Holland (1929 – 2015) was an American scientist and Professor of psychology and Professor of electrical engineering and computer science at the University of Michigan, Ann Arbor.