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ORCIDJacomine Grobler
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2020 – today
- 2024
[c29]Gerhardt Breytenbach
, Jacomine Grobler:
A Generic Virtual Template for Camera Calibration in Soccer Broadcast Footage. ISACE 2024: 18-32- [i1]Carlos Pambo, Jacomine Grobler:
An Evolutionary Algorithm For the Vehicle Routing Problem with Drones with Interceptions. CoRR abs/2409.14173 (2024) - 2023
- [c28]Sarah Dillon, Rudolf Ernst, Jacomine Grobler:
Investigating Alternative Clustering Algorithms for a Cluster-First, Route-Second Truck and Drone Scheduling Algorithm. ICCSA (2) 2023: 147-162 - [c27]Irene Francesca Strydom, Jacomine Grobler:
Topic Modelling for Characterizing COVID-19 Misinformation on Twitter: A South African Case Study. ICCSA (2) 2023: 289-304 - [c26]Irene Francesca Strydom, Jacomine Grobler, Euodia Vermeulen:
Investigating the Use of Topic Modeling for Social Media Market Research: A South African Case Study. ICCSA (2) 2023: 305-320 - [c25]Rudolf Ernst, Tsietsi Moremi, Jacomine Grobler, Philip M. Kaminsky:
A Framework for the Analysis of Metaheuristics for the Travelling Salesman Problem with Drone with Interceptions. ICCSA (2) 2023: 351-368 - [c24]Simon Rautenbach, Imke H. de Kock, Jacomine Grobler:
Towards a maturity model for data science in small and medium-sized enterprises from developing countries. ICE/ITMC 2023: 1-7 - [c23]Idris Oladele Muniru, Jacomine Grobler, Lizelle Van Wyk:
Detecting Intra Ventricular Haemorrhage in Preterm Neonates Using LSTM Autoencoders. IWBBIO (1) 2023: 455-468 - [c22]Arno H. van Bruggen, Karel Kruger, Anton Herman Basson, Jacomine Grobler:
An Architecture to Integrate Digital Twins and Machine Learning Operations. SOHOMA 2023: 3-14 - 2022
- [c21]Irene Francesca Strydom, Jacomine Grobler:
Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study. LOD (1) 2022: 197-210 - 2021
- [c20]Marco Croucamp, Jacomine Grobler:
Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance. EPIA 2021: 469-481 - 2020
- [c19]Yolandi Le Roux, Jacomine Grobler:
Investigating the Use of Machine Learning for South African Edible Garnish Yield Prediction. SGAI Conf. 2020: 202-214 - [c18]Nyiko Cecil Musisinyani, Jacomine Grobler, Mardé Helbig:
Weather Downtime Prediction in a South African Port Environment. SGAI Conf. 2020: 241-255
2010 – 2019
- 2019
- [j5]Andries P. Engelbrecht, Jacomine Grobler, Joost Langeveld:
Set based particle swarm optimization for the feature selection problem. Eng. Appl. Artif. Intell. 85: 324-336 (2019) - [c17]Sibusiso C. Khoza, Jacomine Grobler:
Comparing Machine Learning and Statistical Process Control for Predicting Manufacturing Performance. EPIA (2) 2019: 108-119 - [c16]Jacomine Grobler:
A Diversity Based Multi-objective Hyper-heuristic for the FJSP with Sequence-Dependent Set-Up Times, Auxiliary Resources and Machine Down Time. EPIA (2) 2019: 145-156 - 2018
- [j4]Estée van der Walt, Jan H. P. Eloff, Jacomine Grobler:
Cyber-security: Identity deception detection on social media platforms. Comput. Secur. 78: 76-89 (2018) - [j3]Jacomine Grobler, Andries P. Engelbrecht:
Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms. Soft Comput. 22(18): 5965-5976 (2018) - [c15]Carina M. Behr, Jacomine Grobler:
Robotic Flow Shop Scheduling with Parallel Machines and No-Wait Constraints in an Aluminium Anodising Plant with the CMAES Algorithm. ICAISC (1) 2018: 302-312 - [c14]Hulda Viljoen, Jacomine Grobler:
Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm Approach. ICAISC (1) 2018: 572-582 - 2017
- [c13]Jacomine Grobler, Andries P. Engelbrecht:
A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour. ICSI (1) 2017: 119-130 - 2016
- [c12]Jacomine Grobler, Andries P. Engelbrecht:
Hyper-heuristics for the Flexible Job Shop Scheduling Problem with Additional Constraints. ICSI (2) 2016: 3-10 - [c11]Jacomine Grobler, Andries P. Engelbrecht:
Headless Chicken Particle Swarm Optimization Algorithms. ICSI (1) 2016: 350-357 - 2015
- [j2]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Heuristic space diversity control for improved meta-hyper-heuristic performance. Inf. Sci. 300: 49-62 (2015) - [c10]Jacomine Grobler, Andries P. Engelbrecht:
Metric-Based Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework. SSCI 2015: 1665-1672 - 2014
- [c9]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Heuristic space diversity management in a meta-hyper-heuristic framework. IEEE Congress on Evolutionary Computation 2014: 1863-1869 - [c8]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
The entity-to-algorithm allocation problem: extending the analysis. CIEL 2014: 54-61 - 2013
- [c7]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Multi-method algorithms: Investigating the entity-to-algorithm allocation problem. IEEE Congress on Evolutionary Computation 2013: 570-577 - 2012
- [c6]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Investigating the use of local search for improving meta-hyper-heuristic performance. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c5]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization. IEEE Congress on Evolutionary Computation 2011: 2337-2344 - 2010
- [j1]Jacomine Grobler, Andries P. Engelbrecht, Schalk Kok, Sarma Yadavalli:
Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time. Ann. Oper. Res. 180(1): 165-196 (2010) - [c4]Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
Alternative hyper-heuristic strategies for multi-method global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c3]Jacomine Grobler, Andries P. Engelbrecht:
Hybridizing PSO and DE for improved vector evaluated multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 1255-1262 - 2008
- [c2]Jacomine Grobler, Andries P. Engelbrecht, Venkata S. S. Yadavalli:
Multi-objective DE and PSO strategies for production scheduling. IEEE Congress on Evolutionary Computation 2008: 1154-1161 - 2007
- [c1]Jacomine Grobler, Andries P. Engelbrecht, Johan W. Joubert, Schalk Kok:
A starting-time-based approach to production scheduling with Particle Swarm Optimization. CISched 2007: 121-128
Coauthor Index
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