The CSDL project deals with developing a collaborative environment for decision support by providing tools and methodologies at the best level for collaborative design of complex systems including preliminary design phase. It addresses technological challenges including the following:

• Automatic handling of a hierarchy of interoperable alternative models
• Mastering the tools to ensure the robustness of results concerning risks and uncertainties
• Designing of techniques for scanning and interactive visualization to support decision-making

Evolutionary Visual Exploration

We have developed an innovative framework for Evolutionary Visual Exploration (EVE) that combines visual analysis with stochastic optimisation to aid the exploration of multidimensional datasets. To find out more about EVE and the prototype demonstrator tool EvoGraphDice, visit the project's page here.

Participants:

• Waldo Cancino
• Nadia Boukhelifa
• Evelyne Lutton

Publications

Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton. Evolutionary Visual Exploration: Experimental Analysis of Algorithm Behaviour. GECCO workshop on Genetic and Evolutionary Computation (VizGEC 2013), Jul 2013, Amsterdam, Netherlands (to appear). [pdf]

Nadia Boukhelifa, Waldo Gonzalo Cancino Ticona, Anastasia Bezerianos, Evelyne Lutton. Evolutionary Visual Exploration: Evaluation With Expert Users. Computer Graphics Forum (EuroVis 2013, June 17--21, 2013, Leipzig, Germany), Eurographics Association, 2013, 32 (3). [pdf]

Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Evelyne Lutton. EvoGraphDice: Interactive Evolution for Visual Analytics. IEEE. Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Jun 2012, Brisbane, Australia. pp. 2286-2293. [pdf]

Demo

Try the demo (Java Web Start).