INOCS Seminar: Victor Bucarey Lopez, Friday, December 12th 2017 – Solving strong Stackelberg equilibrium in stochastic games

Date: December, 12th, 12h00 Place: Inria Lille-Nord Europe Abstract: In this work we face the problem of finding strong Stackelberg equilibrium in stochastic games. We study a familiy of stochastic games where equilibrium in stationary policies exist and prove the convergence of value iteration and policy iteration procedures. Preliminary computational…

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OPTIMA Seminar: Juan José Palacios Alonso, Wednesday, November 15th 2017 – Fuzzy numbers for scheduling problems with uncertainty

Date: November, 17th, 16h00 Place: Inria Lille-Nord Europe Abstract: In optimization problems, it is common the case where the value of some variables is not well known, or it is uncertain. Traditionally, this uncertainty has been dealt with, from the point of view of Stochastic Optimization, which models these variables…

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OPTIMA Seminar: Dimitri Papadimitriou, Friday, November 17th 2017 – Location-Routing Models for Data Distribution Systems

Date: November, 17th, 11h00 Place: Inria Lille-Nord Europe Abstract: Given a set of client demands and potential facility locations, the (discrete) capacitated facility location problem (cFLP) consists in selecting a subset of locations where to install a facility, and assigning demands to these facilities without exceeding their capacity. In this…

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OPTIMA Seminar: Daniele Vigo, Wednesday, November 30th 2016 – Visual Attractiveness in Routing Problems

Date: November, 30th, 11h00 Place: Inria Lille-Nord Europe Abstract: Enhancing visual attractiveness or “beauty” in a routing plan has proven to be an effective way to facilitate practical implementation and positive collaboration among tactical and operational levels in the organization. This is the reason why many authors have considered, either…

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OPTIMA Seminar: Véronique François, Tuesday, November 03rd 2016 – Neighborhood search approaches for the multi-trip vehicle routing problem with time windows

Date: November, 3rd, 14h00 Place: Inria Lille-Nord Europe Abstract: We introduce two large neighborhood search approaches for solving the multi-trip vehicle routing problem with time windows, where each vehicle can perform several routes to serve a set of customers. Besides considering a time window at the depot, the working time…

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GOM Seminar: Diego Ponce, Thursday, October 13th 2016 – The DOMP revisited: new formulations, properties and algorithms

Date: October, 13th, 12h00 Place: ULB Bruxelles Abstract: The Discrete Ordered Median Problem (DOMP) is a modelling tool that provides flexible representations of a large variety of problems, which include most of the classical discrete location problems. In this talk we present new formulations for the DOMP and a novel…

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OPTIMA Seminar: Stefano Nasini, Tuesday, October 11th 2016 – Pairwise influences in dynamic choice: theories, models and methods

Date: October, 11th, 15h00 Place: Inria Lille-Nord Europe Abstract: Choices of different individuals over time exhibit pairwise associations in a wide range of economic contexts. Network models for the processes by which ideas and decisions propagate through social interaction have been studied in different streams of literature. However, when the…

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OPTIMA Seminar: Miguel Anjos, Monday, October 10th 2016 – Smart Grids and Optimization: A Winning Combination

Date: October, 10th, 14h00 Place: Inria Lille-Nord Europe Abstract: A smart grid is the combination of a traditional electrical power system with information and energy both flowing back and forth between suppliers and consumers. This new paradigm introduces major challenges such as the integration of intermittent generation and storage, and…

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GOM Seminar: Marcio Costa Santos, Friday, September 23rd 2016 – Approximation methods for a class of robust optimization problems

Date: September, 23rd, 11h30 Place: ULB Bruxelles Abstract: Multistage optimization problems under uncertainty have attracted interest from both the theoretical and the practical level and robust optimization stands among the most established methodologies for dealing with such problems. In robust optimization, we look for a solution that optimizes the objective…

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