ORBEL 32

About the conference
What is OR
Organisation
Deadlines
Call for abstracts
Registration
   Registration
   Participants
Conference program
   Key speakers
   Speakers
   Detailed program
Location
Conference dinner
Partners
Contact
Pictures

 

Schedule

Click on a link for more details
Show all the abstracts
Download the booklet of abtracts

Thursday, February 1
08:30-09:15Welcome
09:15-09:30Opening session
09:30-10:30Plenary session - Dominique Feillet (Chair: Yasemin Arda)
10:30-11:00Coffee break
11:00-12:20Parallel sessions
  Routing Problems
Chair: Pieter Vansteenwegen
Room: 138
Emergency operations scheduling
Chair: El-Houssaine Aghezzaf
Room: 130
Algorithm design
Chair: Gerrit Janssens
Room: 126
Multiple Objectives
Chair: Filip Van Utterbeeck
Room: 120
12:20-13:30Lunch
12:25-13:25ORBEL board meeting
13:30-14:50Parallel sessions
  Integrated logistics
Chair: Kris Braekers
Room: 138
Person transportation
Chair: Célia Paquay
Room: 130
Continuous models
Chair: Nicolas Gillis
Room: 126
Integer programming
Chair: Bernard Fortz
Room: 120
14:50-15:20Coffee break
15:20-16:20Parallel sessions
  Material handling and warehousing 1
Chair: Greet Vanden Berghe
Room: 138
Operations management
Chair: Roel Leus
Room: 130
Matrix factorization
Chair: Pierre Kunsch
Room: 126
 
16:30-17:10Parallel sessions
  Material handling and warehousing 2
Chair: Katrien Ramaekers
Room: 138
Routing and local search
Chair: An Caris
Room: 130
Traffic management
Chair: Joris Walraevens
Room: 126
Pharmaceutical supply chains
Chair: Bart Smeulders
Room: 120
17:15-18:15ORBEL general assembly
18:30-...Conference dinner

Friday, February 2
09:30-10:30Plenary session - Martin Savelsbergh (Chair: Yves Crama)
10:30-10:50Coffee break
10:50-12:10Parallel sessions
  Optimization in health care
Chair: Jeroen Beliën
Room: 138
Network design
Chair: Jean-Sébastien Tancrez
Room: 130
Local search methodology
Chair: Patrick De Causmaecker
Room: 126
ORBEL Award
Chair: Frits Spieksma
Room: 120
12:10-13:00Lunch
13:00-14:00Parallel sessions
  Production and inventory management
Chair: Tony Wauters
Room: 138
Logistics 4.0
Chair: Thierry Pironet
Room: 130
Data clustering
Chair: Yves De Smet
Room: 126
Collective decision making
Chair: Bernard De Baets
Room: 120
14:10-15:10Parallel sessions
  Sport scheduling
Chair: Dries Goossens
Room: 138
Discrete choice modeling
Chair: Virginie Lurkin
Room: 130
Data classification
Chair: Ashwin Ittoo
Room: 126
 
15:10-15:30Coffee break
15:30- 16:30Plenary session - Michel Bierlaire (Chair: Michaël Schyns)
16:30- 16:45ORBEL award and closing session
16:45-18:00Closing cocktail

Thursday 11:00 - 12:20 Routing Problems
Room 138 - Chair: Pieter Vansteenwegen

Thursday 11:00 - 12:20 Emergency operations scheduling
Room 130 - Chair: El-Houssaine Aghezzaf

Thursday 11:00 - 12:20 Algorithm design
Room 126 - Chair: Gerrit Janssens

Thursday 11:00 - 12:20 Multiple Objectives
Room 120 - Chair: Filip Van Utterbeeck

Thursday 13:30 - 14:50 Integrated logistics
Room 138 - Chair: Kris Braekers

Thursday 13:30 - 14:50 Person transportation
Room 130 - Chair: Célia Paquay

Thursday 13:30 - 14:50 Continuous models
Room 126 - Chair: Nicolas Gillis

Thursday 13:30 - 14:50 Integer programming
Room 120 - Chair: Bernard Fortz

Thursday 15:20 - 16:20 Material handling and warehousing 1
Room 138 - Chair: Greet Vanden Berghe

Thursday 15:20 - 16:20 Operations management
Room 130 - Chair: Roel Leus

Thursday 15:20 - 16:20 Matrix factorization
Room 126 - Chair: Pierre Kunsch

Thursday 16:30 - 17:10 Material handling and warehousing 2
Room 138 - Chair: Katrien Ramaekers

Thursday 16:30 - 17:10 Routing and local search
Room 130 - Chair: An Caris

Thursday 16:30 - 17:10 Traffic management
Room 126 - Chair: Joris Walraevens

Thursday 16:30 - 17:10 Pharmaceutical supply chains
Room 120 - Chair: Bart Smeulders

Friday 10:50 - 12:10 Optimization in health care
Room 138 - Chair: Jeroen Beliën

Friday 10:50 - 12:10 Network design
Room 130 - Chair: Jean-Sébastien Tancrez

Friday 10:50 - 12:10 Local search methodology
Room 126 - Chair: Patrick De Causmaecker
  • Easily Building Complex Neighbourhoods With the Cross-Product Combinator
    Fabian Germeau (CETIC)
    Co-authors: Yoann Guyot, Gustavo Ospina, Renaud De Landtsheer, Christophe Ponsard
  • Generic Support for Global Routing Constraint in Constraint-Based Local Search Frameworks
    Renaud De Landtsheer (CETIC)
    Co-authors: Quentin Meurisse
  • Formalize neighbourhoods for local search using predicate logic
    Tu San Pham (KU Leuven)
    Co-authors: Jo Devriendt, Patrick De Causmaecker
    Abstract:
    Local search heuristics are powerful approaches to solve difficult combinatorial optimization problems and are particularly suitable for large size problems. However, local search approaches are often expressed in low-level concepts, which are not suitably formal to allow for modularity and reusability. Related to this issue, Swan et. al. point out the need of a pure-functional description of local search and metaheuristics. Lastly, Hooker opined in that “Since modelling is the master and computation the servant, no computational method should presume to have its own solver. [...] Exact methods should evolve gracefully into inexact and heuristic methods as the problem scales up.” The above issues inspire our work on formalizing local search heuristics, which should lead to modular, reusable and machine-interpretable formalizations of local search heuristics. A local search heuristic consists of 3 layers: search strategy, neighbourhood moves and evaluation machinery. While the first and last layers are most likely problem independent, neighbourhood moves are usually problem-specific. Given a set of neighbourhoods moves, several local search heuristics can be created for a single problem. Small changes in problem requirements are also easy to be taken into account without affecting most of the neighbourhoods and the general algorithms. Therefore, formalizing neighbourhood moves is the first step towards formalizing local search heuristics. In this work, we formally describe neighbourhood moves and their corresponding move evaluations in FO(.), a rich extension of first-order logic, in which a problem’s constraints and objective function can also be formalized. We also extend IDP, an automated reasoning system , with built-in local search heuristics, e.g. first improvement search, best improvement search and local search, to obtain a framework that employs the modular neighbourhood formalizations to simulate a local search algorithm. This framework is demonstrated by reusing the formalizations of three different optimization problems: the Travelling Salesman Problem, the assignment problem and the colouring violations problems. The numerical results show the feasibility of our work.
  • What is the impact of a solution representation on metaheuristic performance?
    Pieter Leyman (KU Leuven KULAK)
    Co-authors: Patrick De Causmaecker

Friday 10:50 - 12:10 ORBEL Award
Room 120 - Chair: Frits Spieksma

    Friday 13:00 - 14:00 Production and inventory management
    Room 138 - Chair: Tony Wauters

    Friday 13:00 - 14:00 Logistics 4.0
    Room 130 - Chair: Thierry Pironet

    Friday 13:00 - 14:00 Data clustering
    Room 126 - Chair: Yves De Smet

    Friday 13:00 - 14:00 Collective decision making
    Room 120 - Chair: Bernard De Baets

    Friday 14:10 - 15:10 Sport scheduling
    Room 138 - Chair: Dries Goossens

    Friday 14:10 - 15:10 Discrete choice modeling
    Room 130 - Chair: Virginie Lurkin

    Friday 14:10 - 15:10 Data classification
    Room 126 - Chair: Ashwin Ittoo

     
     
      ORBEL - Conference chair: Prof. A. Arda - Platform: Prof. M. Schyns.