During software maintenance, some non-functional properties may be lost. This is due to the lack of an explicit definition of their links with the corresponding architectural choi...
Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive componen...
Group work evolves, often leading to changing requirements on the technical support. To meet these new requirements groupware has to be modified. A system that allows end users to...
Robert Slagter, Margit Biemans, G. Henri ter Hofte
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...