This work presents AdaN an online adaptive newspaper system based on evolutionary programming. Online adaptive newspapers provide flexible services and news to a mass of clients/users for maximizing some system goals, they dynamically adapt the form and the content of the newspaper while the population of clients evolve over time. The techniques of online evolutionary programming (or online GAs) used in ADAN exploits the online clients response behavior as a fitness function in order to produce the next generation of services. The principle implemented in online GAs, "the application environment is the fitness", allow to model highly evolutionary domains where both services providers and clients change and evolve over time. The flexibility and the adaptive behavior of this approach seems to be very relevant and promising for applications characterized by highly dynamical features such as in the web domain (online newspapers, e-markets, websites and advertising engines).