Visual scalability is the capability of visualization tools effectively to display large data sets, in terms of either the number or the dimension of individual data elements. In this paper, we define and structure the problem of visual scalability, with special emphasis on the role of visualization as a means of access to details of the data. This is done abstractly in terms of responses that ...

This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominated sorting genetic algorithm (NSGA-II) and clustering in the objective space. It is first argued that for good scalability, clustering or some other form of niching in the objective space is necessary and the size of e...