This document summarizes a study that experimentally evaluated the use of evolutionary algorithms for adaptive information filtering. The researchers tested a basic genetic algorithm approach using a vector space model to represent user profiles and documents, and found that it did not improve filtering accuracy over a baseline approach and struggled with the high-dimensional representation. Initializing profiles based on relevant documents and incorporating learning led to better initial performance but not better than the baseline. The researchers concluded the genetic algorithm was not well-suited for the complex, dynamic problem of adaptive information filtering within a high-dimensional vector space.