Optimization Group Meetings

Breakfast Meetings

Purpose

Breakfast meetings are informal meetings where there is a general discussion or someone presents their work. And additional goal is to have breakfast together.

Organization

1. Send an email to the responsible of Optimization Meetings. Mention your name, your affiliation, the date, time and room, and a short summary of what you are going to talk about.
2. Add a new entry to the table below.
3. Bring breakfast.

History of Breakfast Meetings

Date	Presenter	Summary
????	Sabrina Oliveira	?????
2010-02-11	Sara Ceschia	An overview of Container Loading Problems.
2010-01-21	Yuan, Zhi (Eric)	Rice cooker vs. the idea of tuning.
2010-01-07	Thomas Stüztle	General discussion about the optimization group.

Literature Sessions

Purpose

The goal of the Literature Sessions is to examine and discuss particularly interesting papers from the research literature. For each session, one paper will be selected, there will be a short presentation (10-15 minutes) about the contents, and a discussion will ensue. Sessions will last around 40-45 minutes. Attendants should read the paper before the session in order to have a productive discussion.

Organization

1. Book a room (ask Muriel).
2. Send an email to the responsible of Optimization Meetings. Mention your name, your affiliation, the date, time and room, a reference to the paper and the URL where it can be obtained. Also, attach the paper in PDF.
3. Add a new entry to the table below. Please add a complete bibliographic reference (you may find it in the homepages of the authors) and a hyperlink to a PDF (links to http://dx.doi.org are preferred).

History of Literature Sessions

Date	Presenter	Paper discussed
2010-03-04	Sara Ceschia	A. Schaerf and L. Di Gaspero. Slides of the tutorial "An Overview of Local Search Software Tools" given at "Learning and Intelligent OptimizatioN (LION 2007)", December 8-12, 2007, Trento, Italy. L. Di Gaspero and A. Schaerf. EASY LOCAL++: An object-oriented framework for flexible design of local search algorithms. Software — Practice & Experience, 33(8):733–765, July 2003. [1] S. Cahon, N. Melab and T. El Ghazali. ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics. Journal of Heuristics, 10(3):357-380, November 2004. [2]
2010-02-19	Sabrina M. de Oliveira	A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Session on Real Parameter Optimization. S. Garcia, D. Molina, M. Lozano, F. Herrera - Journal of Heuristics, Volume 15, pp. 617-644, 2009. [3]
2010-02-04	Thomas Stüztle	Analyzing Bandit-based Adaptive Operator Selection Mechanisms. Álvaro Fialho, Luis Da Costa, Marc Schoenauer and Michéle Sebag.
2010-01-14	Jérémie Dubois-Lacoste	SATzilla: Portfolio-based Algorithm Selection for SAT. L. Xu, F. Hutter, H. H. Hoos, K. Leyton-Brown - Journal of Artificial Intelligence Research, Volume 32, pp. 565-606, 2008. [4]
2009-12-11	Manuel López-Ibáñez	SATenstein: Automatically Building Local Search SAT Solvers From Components. Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos and Kevin Leyton-Brown - Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 517-524, 2009. [5]

Other Previous Meetings

See Minutes and agendas from previous meetings.