 | 2012 |
| 12 |  | Pablo A. Maya,
Kenneth Sörensen,
Peter Goos:
A metaheuristic for a teaching assistant assignment-routing problem.
Computers & OR 39(2): 249-258 (2012) |
| 2011 |
| 11 |  | Amir Salehipour,
Kenneth Sörensen,
Peter Goos,
Olli Bräysy:
Efficient GRASP+VND and GRASP+VNS metaheuristics for the traveling repairman problem.
4OR 9(2): 189-209 (2011) |
| 2010 |
| 10 |  | Heidi Arnouts,
Peter Goos:
Update formulas for split-plot and block designs.
Computational Statistics & Data Analysis 54(12): 3381-3391 (2010) |
| 9 |  | Bart Vermeulen,
Peter Goos,
Martina Vandebroek:
Obtaining more information from conjoint experiments by best-worst choices.
Computational Statistics & Data Analysis 54(6): 1426-1433 (2010) |
| 8 |  | Pablo A. Maya,
Kenneth Sörensen,
Peter Goos:
An efficient metaheuristic to improve accessibility by rural road network planning.
Electronic Notes in Discrete Mathematics 36: 631-638 (2010) |
| 7 |  | Heidi Arnouts,
Peter Goos,
Bradley Jones:
Design and analysis of industrial strip-plot experiments.
Quality and Reliability Eng. Int. 26(2): 127-136 (2010) |
| 2009 |
| 6 |  | Jie Yu,
Peter Goos,
Martina Vandebroek:
Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity.
Marketing Science 28(1): 122-135 (2009) |
| 2008 |
| 5 |  | Jie Yu,
Peter Goos,
Martina Vandebroek:
Model-Robust Design of Conjoint Choice Experiments.
Communications in Statistics - Simulation and Computation 37(8): 1603-1621 (2008) |
| 4 |  | Roselinde Kessels,
Peter Goos,
Martina Vandebroek:
Optimal designs for conjoint experiments.
Computational Statistics & Data Analysis 52(5): 2369-2387 (2008) |
| 3 |  | Roselinde Kessels,
Bradley Jones,
Peter Goos,
Martina Vandebroek:
Recommendations on the use of Bayesian optimal designs for choice experiments.
Quality and Reliability Eng. Int. 24(6): 737-744 (2008) |
| 2007 |
| 2 |  | Sabine Verboven,
Karlien Vanden Branden,
Peter Goos:
Sequential imputation for missing values.
Computational Biology and Chemistry 31(5-6): 320-327 (2007) |
| 2005 |
| 1 |  | Peter Goos,
André Kobilinsky,
Timothy E. O'Brien,
Martina Vandebroek:
Model-robust and model-sensitive designs.
Computational Statistics & Data Analysis 49(1): 201-216 (2005) |