| Performance measures for dynamic multi-objective optimisation algorithms M Helbig, AP Engelbrecht Information Sciences 250, 61-81, 2013 | 124 | 2013 |
| Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation M Greeff, AP Engelbrecht 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 117 | 2008 |
| Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions AS Bosman, A Engelbrecht, M Helbig Neurocomputing 400, 113-136, 2020 | 95 | 2020 |
| Benchmarks for dynamic multi-objective optimisation algorithms M Helbig, AP Engelbrecht ACM Computing Surveys (CSUR) 46 (3), 1-39, 2014 | 84 | 2014 |
| Analysing the performance of dynamic multi-objective optimisation algorithms M Helbig, AP Engelbrecht 2013 IEEE Congress on Evolutionary Computation, 1531-1539, 2013 | 61 | 2013 |
| Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems M Helbig, AP Engelbrecht Swarm and Evolutionary computation 14, 31-47, 2014 | 59 | 2014 |
| Dynamic Multi-Objective Optimization Using PSO M Helbig, A Engelbrecht Metaheuristics for Dynamic Optimization, 147-188, 2013 | 52 | 2013 |
| Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation M Helbig, AP Engelbrecht 2011 IEEE Congress of Evolutionary Computation (CEC), 2047-2054, 2011 | 52 | 2011 |
| Benchmarks for dynamic multi-objective optimisation M Helbig, AP Engelbrecht 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain …, 2013 | 49 | 2013 |
| Dynamic multi-objective optimisation using PSO M Greeff, AP Engelbrecht Multi-Objective Swarm Intelligent Systems: Theory & Experiences, 105-123, 2010 | 44 | 2010 |
| Benchmark functions for cec 2015 special session and competition on dynamic multi-objective optimization M Helbig, A Engelbrecht Dept. Comput. Sci., Univ. Pretoria, Pretoria, South Africa, Rep, 2015 | 42 | 2015 |
| Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems M Helbig, AP Engelbrecht 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 35 | 2012 |
| Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation M Helbig University of Pretoria, 2012 | 34 | 2012 |
| Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation M Helbig, AP Engelbrecht 2014 IEEE Congress on Evolutionary Computation (CEC), 3151-3159, 2014 | 32 | 2014 |
| Interactive cultural experiences using virtual identities M Greeff, V Lalioti | 28 | 2001 |
| Key challenges and future directions of dynamic multi-objective optimisation M Helbig, K Deb, A Engelbrecht 2016 IEEE Congress on Evolutionary Computation (CEC), 1256-1261, 2016 | 24 | 2016 |
| Fitness landscape analysis of weight-elimination neural networks A Bosman, A Engelbrecht, M Helbig Neural Processing Letters 48, 353-373, 2018 | 22 | 2018 |
| Progressive gradient walk for neural network fitness landscape analysis AS Bosman, AP Engelbrecht, M Helbig Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 18 | 2018 |
| Search space boundaries in neural network error landscape analysis AS Bosman, A Engelbrecht, M Helbig 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 17 | 2016 |
| A lightweight methodology to improve web accessibility M Greeff, P Kotzé Proceedings of the 2009 Annual Research Conference of the South African …, 2009 | 17 | 2009 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer Science在 sun.ac.za 的电子邮件经过验证
