Titre : New Trends and Results in Multiobjective Programming for Stochastic or Robust Optimization and Decision-Making under Uncertainty

Conférencier : Alexander Engau, University of Colorado Denver, États-Unis

Résumé:

One of the most challenging problems in operations research is how to handle and effectively deal with both data and model uncertainties. In addition to the classical approaches from probabilistic or stochastic programming and the still more recent paradigm of robust optimization, there also been an increased interest in using the theory and methodology of multiple criteria optimization for decision making under uncertainty and robustness in particular. In this presentation, we plan to give a brief overview of some of these new trends including contributions by both the speaker as well as several other colleagues in the broader optimization community. Specifically, we intend to describe new results and approaches to achieve Pareto optimality in robust optimization, to relate robust and stochastic formulations through the concept of scalarization, and to provide a comprehensive analysis of trade-offs and risks based on extensions of the theory of proper (Pareto) efficiency. The talk will conclude with a summary of criticisms that have challenged the applicability of multicriteria methods especially in the context of robustness, and that suggest an interesting and likely controversial further discussion.

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Ce séminaire vous permettra d’échanger avec le conférencier et les chercheurs présents autour de boissons et de collations.
Nous vous remercions de confirmer votre présence. (http://doodle.com/ft8hb6vwrxumxhe6)
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This seminar will give you the opportunity to meet the speaker and all the researchers in attendance while enjoying drinks and snacks.
We would highly appreciate if you could confirm your attendance.(http://doodle.com/ft8hb6vwrxumxhe6)

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