| A survey of school timetabling research N Pillay Annals of Operations Research 218, 261-293, 2014 | 194 | 2014 |
| An informed genetic algorithm for the examination timetabling problem N Pillay, W Banzhaf Applied Soft Computing 10 (2), 457-467, 2010 | 170 | 2010 |
| Hyper-heuristics: theory and applications N Pillay, R Qu Springer International Publishing, 2018 | 165 | 2018 |
| A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem N Pillay, W Banzhaf European Journal of Operational Research 197 (2), 482-491, 2009 | 152 | 2009 |
| An investigation into student characteristics affecting novice programming performance N Pillay, VR Jugoo ACM Sigcse Bulletin 37 (4), 107-110, 2005 | 143 | 2005 |
| A review of hyper-heuristics for educational timetabling N Pillay Annals of Operations Research 239, 3-38, 2016 | 107 | 2016 |
| Developing intelligent programming tutors for novice programmers N Pillay ACM SIGCSE Bulletin 35 (2), 78-82, 2003 | 96 | 2003 |
| XHSTT: an XML archive for high school timetabling problems in different countries G Post, JH Kingston, S Ahmadi, S Daskalaki, C Gogos, J Kyngas, C Nurmi, ... Annals of Operations Research 218, 295-301, 2014 | 86 | 2014 |
| A study of ant-based pheromone spaces for generation constructive hyper-heuristics E Singh, N Pillay Swarm and Evolutionary Computation 72, 101095, 2022 | 82 | 2022 |
| Evolving hyper-heuristics for the uncapacitated examination timetabling problem N Pillay Journal of the Operational Research Society 63 (1), 47-58, 2012 | 69 | 2012 |
| Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms T Nyathi, N Pillay Expert Systems with Applications 104, 213-234, 2018 | 61 | 2018 |
| A genetic programming approach to the generation of hyper-heuristics for the uncapacitated examination timetabling problem N Pillay, W Banzhaf Progress in Artificial Intelligence: 13th Portuguese Conference on …, 2007 | 50 | 2007 |
| The general combinatorial optimization problem: Towards automated algorithm design R Qu, G Kendall, N Pillay IEEE Computational Intelligence Magazine 15 (2), 14-23, 2020 | 47 | 2020 |
| A developmental approach to the uncapacitated examination timetabling problem N Pillay, W Banzhaf Parallel Problem Solving from Nature–PPSN X: 10th International Conference …, 2008 | 47 | 2008 |
| An overview of school timetabling research N Pillay Proceedings of the 8th International Conference on the Practice and Theory …, 2010 | 46 | 2010 |
| Automated generation of constructive ordering heuristics for educational timetabling N Pillay, E Özcan Annals of Operations Research 275, 181-208, 2019 | 42 | 2019 |
| Towards a generalised metaheuristic model for continuous optimisation problems JM Cruz-Duarte, JC Ortiz-Bayliss, I Amaya, Y Shi, H Terashima-Marín, ... Mathematics 8 (11), 2046, 2020 | 38 | 2020 |
| A genetic algorithm selection perturbative hyper-heuristic for solving the school timetabling problem R Raghavjee, N Pillay ORiON 31 (1), 39-60, 2015 | 36 | 2015 |
| Learning difficulties experienced by students in a course on formal languages and automata theory N Pillay ACM SIGCSE Bulletin 41 (4), 48-52, 2010 | 36 | 2010 |
| AI in engineering and computer science education in preparation for the 4th industrial revolution: A South African perspective N Pillay, BT Maharaj, G van Eeden 2018 World Engineering Education Forum-Global Engineering Deans Council …, 2018 | 33 | 2018 |
Rong QuProfessor, University of Nottingham, UKVerified email at cs.nott.ac.uk
