ORBEL 27

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Detailed schedule

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Thursday 7 February:

9:00-9:30Registration (Room Spina)
9:30-10:45Plenary session
Welcome
Invited speaker: El-Ghazali Talbi
Metaheuristics for multi-objective optimization - A unified view
10:45-11:15Coffee break
11:15-12:30Parallel sessions
  TA-1: COMEX Decision Making
Chair: B. Fortz
Room: C.611
TA-2: Production 1
Chair: E.h. AGhezzaf
Room: C.601
TA-3: Global Optimization
Chair: D. Claeys
Room: C.602
TA-4: Transportation 1
Chair: C. Vanovermeire
Room: C.603
12:30-14:00Lunch
14:00-15:40Parallel sessions
  TB-1: COMEX Health
Chair: G. Vanden Berghe
Room: C.611
TB-2: Routing
Chair: G.K. Janssens
Room: C.601
TB-3: Meta-Heuristics
Chair: P. Vansteenwegen
Room: C.602
TB-4: Transportation 2
Chair: F.C.R Spieksma
Room: C.603
15:40-16:10Coffee break
16:10-17:25Parallel sessions
  TC-1: COMEX Routing
Chair: K. Sôrensen
Room: C.611
TC-2: Sets, Relations and Rankings
Chair: B. De Baets
Room: C.601
TC-3: Logistics
Chair: S. Demeyer
Room: C.602
 
17:30-General Assembly (Room C.611)
19:30-Conference dinner (Carlton)

Friday 8 February
9:00-10:15Parallel sessions
  FA-1: COMEX Logistics
Chair: Y. Crama
Room: C.611
FA2: Production 2
Chair: D. Tuyttens
Room: C.611
FA-3: MIP
Chair: T. Dokka
Room: C.603
 
10:15-10:40Coffee break
10:40-12:40Plenary session
ORBEL Award
Wolsey award announcement
Invited speaker: Andrea Schaerf
Educational Timetabling: Problems, Benchmarks, Algorithms, Software Tools, and Practical Issues
12:40-14:00Lunch
14:00-14:30IMinds Information Session (Room C.611)
14:30-16:10Parallel sessions
  FB-1: COMEX automatic tuning and organization
Chair: T. Stützle
Room: C.611
FB2: Disaster, Water and Biology
Chair: L. Porretta
Room: C.602
FB-3: Decision Making
Chair: D. Goossens
Room: C.603
 
16:10-16:40Coffee break


Thursday 11:15-12:30 TA-1: COMEX Decision Making
Room C.611 - Chair: B. Fortz

Thursday 11:15-12:30 TA-2: Production 1
Room C.601 - Chair: E.h. AGhezzaf

Thursday 11:15-12:30 TA-3: Global Optimization
Room C.602 - Chair: D. Claeys

Thursday 11:15-12:30 TA-4: Transportation 1
Room C.603 - Chair: C. Vanovermeire

Thursday 14:00-15:40 TB-1: COMEX Health
Room C.611 - Chair: G. Vanden Berghe

Thursday 14:00-15:40 TB-2: Routing
Room C.601 - Chair: G.K. Janssens

Thursday 14:00-15:40 TB-3: Meta-Heuristics
Room C.602 - Chair: P. Vansteenwegen

Thursday 14:00-15:40 TB-4: Transportation 2
Room C.603 - Chair: F.C.R Spieksma

Thursday 16:10-17:25 TC-1: COMEX Routing
Room C.611 - Chair: K. Sôrensen
  • An Adaptive Large Neighborhood Search for a Vehicle Routing Problem with Multiple Trips and Driver Shifts (PDF)
    Véronique François (HEC-Management School of the University of Liège)
    Co-authors: Yasemin Arda and Yves Crama
  • New Metaheuristics for the Risk Constraint Cash-in-Transit Vehicle Routing Problem (PDF)
    Luca Talarico (University of Antwerp)
    Co-authors: K. Sörensen and J. Springael
    Abstract:
    In this work we propose two new metaheuristic algorithms to cope with the Risk Constraint Cash-in-Transit Vehicle Routing Problem (RCTVRP for short) already introduced in the literature by (Talarico et al., 2012). The RCTVRP is a variant of the well-known capacitated vehicle routing problem that models the problem of routing vehicles in the cash-in-transit industry by introducing a risk constraint. In the RCTVRP the risk associated with a robbery, which is assumed to be proportional both to the amount of cash being carried and the time or the distance covered by the vehicle carrying the cash, is limited by a certain risk threshold. In this work we propose two metaheuristic algorithms named respectively m-ACO and p-ACO . Both the m-ACO and the p-ACO metaheuristics use the well known Ant Colony heuristic for the Traveling Salesman Problem introduced by (Dorigo, 1996). The risk constraint is relaxed and for this reason, the Ant Colony heuristic creates a single (TSP) tour. The best found giant TSP tour is subjected to a variant of the splitting procedure described in Prins (2004). The solution obtained after the splitting heuristics serve as input for the variable neighbourhood search block, which is composed of seven of the most common local search operators for vehicle routing problems, modified for the RCTVRP. The Ant Colony heuristic and the variable neighbourhood search block are embedded in two different global metaheuristic structures: a multistart and a destroy-and-repair (or perturbation) structure. Both the m-ACO and p-ACO metaheuristics, in their optimal setting, are used to solve all the instances contained in a specific set of RCTVRP instances named set O for which the optimal solutions are known (see (Talarico et al., 2012) for more details of the instances characteristics). The resulting methods are able to obtain solutions of excellent quality in very limited computing times.
  • Routing for couriers: a multi-objective tabu search method to rebalance a tactical route plan with microzones (PDF)
    Jochen Janssens (University of Antwerp)
    Co-authors: Joos Van Den Bergh

Thursday 16:10-17:25 TC-2: Sets, Relations and Rankings
Room C.601 - Chair: B. De Baets

Thursday 16:10-17:25 TC-3: Logistics
Room C.602 - Chair: S. Demeyer

Friday 9:00-10:15 FA-1: COMEX Logistics
Room C.611 - Chair: Y. Crama

Friday 9:00-10:15 FA2: Production 2
Room C.611 - Chair: D. Tuyttens

Friday 9:00-10:15 FA-3: MIP
Room C.603 - Chair: T. Dokka

Friday 14:00-15:40 FB-1: COMEX automatic tuning and organization
Room C.611 - Chair: T. Stützle

Friday 14:00-15:40 FB2: Disaster, Water and Biology
Room C.602 - Chair: L. Porretta

Friday 14:00-15:40 FB-3: Decision Making
Room C.603 - Chair: D. Goossens

 
 
  SOGESCI/ORBEL - Conference chair: Prof. P. De Causmaecker - Platform: Prof. M. Schyns