| A framework and methodology for evaluating e‐commerce web sites R Van der Merwe, J Bekker Internet Research 13 (5), 330-341, 2003 | 305 | 2003 |
| The cross-entropy method in multi-objective optimisation: An assessment J Bekker, C Aldrich European Journal of Operational Research 211 (1), 112-121, 2011 | 94 | 2011 |
| Planning the safe transit of a ship through a mapped minefield JF Bekker, JP Schmid ORiON 22 (1), 1-18, 2006 | 41 | 2006 |
| Multi-objective buffer space allocation with the cross-entropy method J Bekker International Journal of Simulation Modelling 12 (1), 50-61, 2013 | 40 | 2013 |
| Planning Formula One race strategies using discrete-event simulation J Bekker, W Lotz Journal of the Operational Research Society 60 (7), 952-961, 2009 | 37 | 2009 |
| Tradeoffs between levelling the reserve margin and minimising production cost in generator maintenance scheduling for regulated power systems BG Lindner, R Brits, JH Van Vuuren, J Bekker International Journal of Electrical Power & Energy Systems 101, 458-471, 2018 | 33 | 2018 |
| Customer super-profiling demonstrator to enable efficient targeting in marketing campaigns M Walters, J Bekker South African Journal of Industrial Engineering 28 (3), 113-127, 2017 | 24 | 2017 |
| Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems J Bekker Stellenbosch: Stellenbosch University, 2012 | 22 | 2012 |
| Using machine learning to predict the next purchase date for an individual retail customer M Droomer, J Bekker South African Journal of Industrial Engineering 31 (3), 69-82, 2020 | 18 | 2020 |
| Real-time scheduling in a sensorised factory using cloud-based simulation with mobile device access S Snyman, J Bekker South African Journal of Industrial Engineering 28 (4), 161-169, 2017 | 15 | 2017 |
| Control of VSe− defect levels in CuInSe2 prepared by rapid thermal processing of metallic alloys V Alberts, J Bekker, MJ Witcomb, JH Schön, E Bucher Thin Solid Films 361, 432-436, 2000 | 15 | 2000 |
| Drawing conclusions from deterministic logistic simulation models S Saayman, J Bekker Logistics Information Management 12 (6), 460-466, 1999 | 14 | 1999 |
| Using the Population-Based Incremental Learning algorithm with computer simulation: Some applications J Bekker, Y Olivier South African Journal of Industrial Engineering 19 (1), 53-71, 2008 | 11 | 2008 |
| Developing a tool for project contingency estimation in a large portfolio of construction projects J Bekker South African Journal of Industrial Engineering 25 (3), 96-111, 2014 | 10 | 2014 |
| Using computer simulation to determine operations policies for a mechanised car park J Bekker, L Viviers Simulation Modelling Practice and Theory 16 (6), 613-625, 2008 | 10 | 2008 |
| New reinforcement learning algorithm for robot soccer M Yoon, J Bekker, S Kroon orion 33 (1), 1-20, 2017 | 9 | 2017 |
| Simulation of fruit pallet movement in the port of Durban: A case study J Bekker, M Mostert, FE Van Dyk ORiON 21 (1), 63-75, 2005 | 9 | 2005 |
| Multi-objective simulation optimisation on discrete sets: a literature review M Yoon, J Bekker International Journal of Operational Research 39 (3), 364-405, 2020 | 7 | 2020 |
| Introduction to discrete-event simulation J Bekker Unpublished notes 107, 2019 | 7 | 2019 |
| A multi-objective coal inventory management model using Monte Carlo computer simulation R Brits, J Bekker South African Journal of Industrial Engineering 27 (4), 215-226, 2016 | 7 | 2016 |
