I presented today an introductory tutorial on “Multi-objective Optimization” (MOO) in our research group. Most of the discussions around this topic in the state-of-the-art, are about theoretic aspects. We have recently focused on a project which is an application of MOO in the Social Web. It is currently a work under review. This is a collaboration between our team (Sihem Amer-Yahia and I) and INRIA Grenoble (Denis Trystram, Distinguished Professor and Pierre-François Dutot, Associate Professor).
The presentation is available by clicking here. Two main references are as follows.
- T’kindt,Vincent and Scott, H and Billaut, Jean-Charles, Multicriteria scheduling: theory, models and algorithms, Springer Science & Business Media, 2006
- P-F. Dutot, K. Rzadca, E. Saule, and D.Trystram. Multi-objective scheduling, chapter 9. Chapman and Hall/CRC Press, 2009
* Why this image for this post? Multi-objective Optimization is a theoretic tool to optimize different aspects of a problem. A successful chess player should also look at different aspects of each move she makes.