On Two Types of GA-Learning
Nicolaas J. Vriend · Studies in fuzziness and soft computing · 2002
We distinguish two types of learning with a Genetic Algorithm. A population learning Genetic Algorithm (or pure GA), and an individual learning Genetic Algorithm (basically a GA combined with a Classifier System ). The difference between these two types of GA is often neglected, but we show that for a broad class of problems this difference is essential as it may lead to widely differing performances. The underlying cause for this is a so called spite effect. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.