Location: CLT701 Date/Time: 11th March 2014, 14:00 - 15:00
Speaker(s): Michael Emmerich.
Recently, many numerical and heuristic algorithms are developed that aim for finding well-distributed sets of multiple solutions to an optimization problem. Examples are Pareto optimization, diversity optimization, or level set approximation. Many of these methods can be understood as collective search methods where the progress of single points is measured relative to its contribution to the progress of a set of points. The progress of a set can be measured by a problem specific set-indicator, such as the hypervolume indicator in multiobjective optimization, dispersion in diversity optimization, or the area under convex hull in RoC curve approximation. Often, the resulting algorithms can be modeled as deterministic processes (e.g. systems of differential equations) or stochastic dynamical processes (e.g. Markov processes) on a state space of finite point sets that are designed to eventually converge to (approximations of) optimal sets with respect to a set indicator. The dynamical behavior and limiting cycles/points are an interesting subject to study. The talk will highlight some recent theoretical results in this field, as well as applications in drug-discovery and the parameter identification of stochastic models of biological networks.
Location: CLT701 Date/Time: 18th March 2014, 14:00 - 15:30
Speaker(s): Alessio Ishizaka, University of Portsmouth.
Analytic Hierarchy Process (AHP) is an established multi-criteria decision making method for ranking problems. Evaluations are given on a verbal scale and then converted into quantitative values for calculating the priorities of the criteria and alternatives. Several conversion scales have been proposed, which confuses the decision-maker. In order to select the best matching scale according to the mental representation of the verbal scale of each individual decision-maker, verbal scales are first used to compare alternatives with known measures, e.g. surface of figures. The best matching scale representing the real values is then selected. This AHP with individualised scales has been applied in a real case study to select cloud computing strategies.
Location: CLT701 Date/Time: 24th April 2014, 13:00 - 14:00
Speaker(s): Andreas Roth.
With the cloud as dominating deployment model, industrial software development for enterprise applications has changed and is still changing considerably. In this talk we first discuss the needs of enterprise software development for the cloud compared to the pre-cloud era. We then focus on how software development itself can look like if it consequently exploits the opportunities of the cloud, for instance with respect to providing immediate feedback for developers on how their applications are used, and using . We will demonstrate this at practical examples using SAP HANA, the SAP HANA Cloud Platform and its Web-based development environment.