Abstract. The traditional technique to simulate physical systems modeled by partial differential equations is by means of a time-stepped methodology where the state of the system ...
Homa Karimabadi, Jonathan Driscoll, Jagrut Dave, Y...
algorithms as networks of modules. The data flow architecture is popular because of the flexibility of mixing calculation modules with display modules, and because of its easy grap...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, CREAM, that allows for creation of metadata. While the annotatio...
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...