2 examples of relative dating
Again these winning individuals are selected and copied over into the next generation with random changes, and the process repeats.
Multiple copies are made of them, but the copies are not perfect; random changes are introduced during the copying process.This field is computer science, and the benefits come from a programming strategy called Concisely stated, a genetic algorithm (or GA for short) is a programming technique that mimics biological evolution as a problem-solving strategy.Given a specific problem to solve, the input to the GA is a set of potential solutions to that problem, encoded in some fashion, and a metric called a that allows each candidate to be quantitatively evaluated.There are numerous natural phenomena for which evolution gives us a sound theoretical underpinning.
To name just one, the observed development of resistance - to insecticides in crop pests, to antibiotics in bacteria, to chemotherapy in cancer cells, and to anti-retroviral drugs in viruses such as HIV - is a straightforward consequence of the laws of mutation and selection, and understanding these principles has helped us to craft strategies for dealing with these harmful organisms.
These candidates may be solutions already known to work, with the aim of the GA being to improve them, but more often they are generated at random.