Genetic Algorithms Adaptive Web Evolutionary Computation
Institute of Information Theories and Applications FOI ITHEA
This paper present a technique based on genetic algorithms for generating online adaptive services.
Online adaptive systems provide flexible services to a mass of clients/users for maximising some system goals,
they dynamically adapt the form and the content of the issued services while the population of clients evolve
The idea of online genetic algorithms (online GAs) is to use the online clients response behaviour 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 modelling highly evolutionary domains where both services
providers and clients change and evolve over time.
The flexibility and the adaptive behaviour of this approach seems to be very relevant and promising for
applications characterised by highly dynamical features such as in the web domain (online newspapers, e-
markets, websites and advertising engines). Nevertheless the proposed technique has a more general aim for
application environments characterised by a massive number of anonymous clients/users which require
personalised services, such as in the case of many new IT applications.