ORBEL 28

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Detailed schedule

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Thursday 30 January:

9:00-9:30Registration (Hall of Vesale Building)
9:30-10:45Plenary session (Room Vesale 023)
Welcome
Invited speaker: Gerhard Woeginger
Optimization at the second level
10:45-11:15Coffee break
11:15-12:30Parallel sessions
  TA-1: COMEX - Optimization 1
Chair: M. Schyns
Room: Vesale 023
TA-2: Software and Implementation
Chair: M. Mezmaz
Room: Vesale 020
TA-3: COMEX - Smart mobility
Chair: A. Caris
Room: Vesale 025
TA-4: Systems
Chair: P. Kunsch
Room: Pentagone 0A11
12:30-14:00Lunch (First floor of the Restaurant building)
13:30-General Assembly
14:00-15:40Parallel sessions
  TB-1: Data Analysis 1
Chair: X.Siebert
Room: Vesale 023
TB-2: Multiple Objectives
Chair: Y. de Smet
Room: Vesale 020
TB-3: Logistics
Chair: D. De Wolf
Room: Vesale 025
TB-4: COMEX - Applications to Economy
Chair: W. Brauers
Room: Pentagone 0A11
TB-5: Networks
Chair: B. Fortz
Room: Pentagone 0A07
15:40-16:10Coffee break
16:10-17:25Parallel sessions
  TC-1: Mixed-integer nonlinear programming
Chair: Y. Crama
Room: Vesale 023
TC-2: Decision Analysis 1
Chair: S. Eppe
Room: Vesale 020
TC-3: Routing
Chair: K. Sörensen
Room: Vesale 025
TC-4: Graphs
Chair: H. Mélot
Room: Pentagone 0A11
TC-5: Scheduling
Chair: S. Hanafi
Room: Pentagone 0A07
 
17:30-General Assembly (if quota not reached at 13:30)
19:30-Conference dinner

Friday 31 January
9:00-10:15Parallel sessions
  FA-1: Queuing
Chair: S. Wittevrongel
Room: Vesale 023
FA-2: Decision Analysis 2
Chair: R. Bisdorff
Room: Vesale 020
FA-3: COMEX - Optimization 2
Chair: M. Labbé
Room: Vesale 025
FA-4: Production
Chair: D. Tuyttens
Room: Pentagone 0A11
 
10:15-10:40Coffee break
10:40-12:40Plenary session (Room Vesale 023)
Invited speaker: Matthias Ehrgott
From routeplanning to scheduling and policy decisions: Applications of multiobjective optimization in transportation
ORBEL Award
Wolsey award announcement
12:40-14:00Lunch (First floor of the Restaurant building)
14:00-15:40Parallel sessions
  FB-1: Data Analysis 2
Chair: P. Fortemps
Room: Vesale 023
FB-2: Heuristics
Chair: T. Stützle
Room: Vesale 020
FB-3: COMEX - Transportation
Chair: F. Spieksma
Room: Vesale 025
FB-4: Health
Chair: G. Vanden Berghe
Room: Pentagone 0A11
 
15:40-17:00Closing: Coffee, beers and wine


Thursday 11:15-12:30 TA-1: COMEX - Optimization 1
Room Vesale 023 - Chair: M. Schyns

Thursday 11:15-12:30 TA-2: Software and Implementation
Room Vesale 020 - Chair: M. Mezmaz

Thursday 11:15-12:30 TA-3: COMEX - Smart mobility
Room Vesale 025 - Chair: A. Caris

Thursday 11:15-12:30 TA-4: Systems
Room Pentagone 0A11 - Chair: P. Kunsch

Thursday 14:00-15:40 TB-1: Data Analysis 1
Room Vesale 023 - Chair: X.Siebert

Thursday 14:00-15:40 TB-2: Multiple Objectives
Room Vesale 020 - Chair: Y. de Smet

Thursday 14:00-15:40 TB-3: Logistics
Room Vesale 025 - Chair: D. De Wolf

Thursday 14:00-15:40 TB-4: COMEX - Applications to Economy
Room Pentagone 0A11 - Chair: W. Brauers

Thursday 14:00-15:40 TB-5: Networks
Room Pentagone 0A07 - Chair: B. Fortz

Thursday 16:10-17:25 TC-1: Mixed-integer nonlinear programming
Room Vesale 023 - Chair: Y. Crama

Thursday 16:10-17:25 TC-2: Decision Analysis 1
Room Vesale 020 - Chair: S. Eppe

Thursday 16:10-17:25 TC-3: Routing
Room Vesale 025 - Chair: K. Sörensen

Thursday 16:10-17:25 TC-4: Graphs
Room Pentagone 0A11 - Chair: H. Mélot

Thursday 16:10-17:25 TC-5: Scheduling
Room Pentagone 0A07 - Chair: S. Hanafi

Friday 9:00-10:15 FA-1: Queuing
Room Vesale 023 - Chair: S. Wittevrongel

Friday 9:00-10:15 FA-2: Decision Analysis 2
Room Vesale 020 - Chair: R. Bisdorff

Friday 9:00-10:15 FA-3: COMEX - Optimization 2
Room Vesale 025 - Chair: M. Labbé

Friday 9:00-10:15 FA-4: Production
Room Pentagone 0A11 - Chair: D. Tuyttens

Friday 14:00-15:40 FB-1: Data Analysis 2
Room Vesale 023 - Chair: P. Fortemps
  • The carry-over effect does exist in tennis
    Dries Goossens (Ghent University)
    Co-authors: Frits Spieksma
  • Alternative Pairwise Decomposition Techniques for Label Ranking
    Massimo Gurrieri (UMONS)
    Co-authors: Philippe Fortemps, Xavier Siebert
  • Constrained Clustering using Column Generation
    Behrouz Babaki (KU Leuven)
    Co-authors: Tias Guns, Siegfried Nijssen
  • Geometrical lower bound for the nonnegative rank of slack matrices
    Julien Dewez (Université catholique de Louvain)
    Co-authors: Nicolas Gillis, François Glineur
    Abstract:
    The nonnegative rank of an element-wise nonnegative matrix is the minimum number of nonnegative rank-one factors needed to reconstruct it exactly. Computing this rank and a related factorization is NP-hard. However it can be used to describe an extension of a convex polytope, i.e., a higher-dimensional polytope which projects onto the original polytope, with minimum number of facets. These extensions for polytopes have important applications in combinatorial optimization. More precisely, many combinatorial optimization problems can be formulated as the optimization of a linear objective function over a polytope which may have a very large number of facets (possibly increasing exponentially with the size of the problem). Because of the high number of facets, computing the optimal solution of this linear optimization problem can be very time consuming. However, if one can find an extension for this polytope with a moderate number of facets (growing for example polynomially with the size of the problem), one can solve the optimization problem over the extension efficiently, and project its optimal solution back to the original polytope of feasible solutions. Therefore, we would like to know the extension complexity of the polytope of feasible solutions, i.e., the minimum number of facets of any extension of this polytope. In particular, if the extension complexity grows exponentially with the size of the problem, then the polytope of feasible solutions does not admit any extension with a polynomial number of facets and we will not able to solve the problem in polynomial time with this approach. Crucially, the extension complexity of a polytope is also the nonnegative rank of a particular matrix called the slack matrix. The extension complexity is then also NP-hard to compute in general. In this talk, we introduce a new geometrical lower bound on the extension complexity of a polytope which relies on the monotone behavior of the f-vector of a convex polytope under projections (where the f-vector is the collection of the numbers of k-faces of the polytope). This new lower bound improves upon existing lower bounds and, in some cases, implies optimality of the best known extension.

Friday 14:00-15:40 FB-2: Heuristics
Room Vesale 020 - Chair: T. Stützle

Friday 14:00-15:40 FB-3: COMEX - Transportation
Room Vesale 025 - Chair: F. Spieksma

Friday 14:00-15:40 FB-4: Health
Room Pentagone 0A11 - Chair: G. Vanden Berghe

 
 
  SOGESCI/ORBEL - Conference chair: Prof. M. Pirlot - Platform: Prof. M. Schyns