Using genetic programming for the induction of novice procedural programming solution algorithms. - Nelishia Pillay (SAC, 2002)

Developing intelligent programming tutors for novice programmers. - Nelishia Pillay (ACM SIGCSE Bull., 2003)

Analysis of Spreadsheet Errors Made by Computer Literacy Students. - Tanja Reinhardt; Nelishia Pillay (ICALT, 2004)

A first course in genetic programming. - Nelishia Pillay (ACM SIGCSE Bull., 2004)

An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems. - Nelishia Pillay (GECCO, 2005)

An investigation into student characteristics affecting novice programming performance. - Nelishia Pillay; Vikash R. Jugoo (ACM SIGCSE Bull., 2005)

A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem. - Nelishia Pillay; Wolfgang Banzhaf (EPIA Workshops, 2007)

The Induction of Finite Transducers Using Genetic Programming. - Amashini Naidoo; Nelishia Pillay (EuroGP, 2007)

Evolving pushdown automata. - Amashini Naidoo; Nelishia Pillay (SAICSIT, 2007)

A hybrid approach to automatic programming for the object-oriented programming paradigm. - Nelishia Pillay; Caryl K. A. Chalmers (SAICSIT, 2007)

Why complex systems engineering needs biological development. - Wolfgang Banzhaf; Nelishia Pillay (Complex., 2007)

Using Genetic Programming for Turing Machine Induction. - Amashini Naidoo; Nelishia Pillay (EuroGP, 2008)

A Developmental Approach to the Uncapacitated Examination Timetabling Problem. - Nelishia Pillay; Wolfgang Banzhaf (PPSN, 2008)

An analysis of representations for hyper-heuristics for the uncapacitated examination timetabling problem in a genetic programming system. - Nelishia Pillay (SAICSIT, 2008)

An application of genetic algorithms to the school timetabling problem. - Rushil Raghavjee; Nelishia Pillay (SAICSIT, 2008)

Teaching the theory of formal languages and automata in the Computer Science undergraduate curriculum. - Nelishia Pillay (South Afr. Comput. J., 2008)

Evolving Solutions to the School Timetabling Problem. - Rushil Raghavjee; Nelishia Pillay (NaBIC, 2009)

The revised developmental approach to the uncapacitated examination timetabling problem. - Nelishia Pillay (SAICSIT, 2009)

A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem. - Nelishia Pillay; Wolfgang Banzhaf (Eur. J. Oper. Res., 2009)

Learning difficulties experienced by students in a course on formal languages and automata theory. - Nelishia Pillay (ACM SIGCSE Bull., 2009)

An evolutionary algorithm hyper-heuristic for producing feasible timetables for the curriculum based university course timetabling problem. - Rosanne Els; Nelishia Pillay (NaBIC, 2010)

Using genetic algorithms to solve the South African school timetabling problem. - Rushil Raghavjee; Nelishia Pillay (NaBIC, 2010)

An empirical study into the structure of heuristic combinations in an evolutionary algorithm hyper-heuristic for the examination timetabling problem. - Nelishia Pillay (SAICSIT, 2010)

A study into the use of hyper-heuristics to solve the school timetabling problem. - Nelishia Pillay (SAICSIT, 2010)

An informed genetic algorithm for the high school timetabling problem. - Rushil Raghavjee; Nelishia Pillay (SAICSIT, 2010)

An informed genetic algorithm for the examination timetabling problem. - Nelishia Pillay; Wolfgang Banzhaf (Appl. Soft Comput., 2010)

The effect of construction heuristics on the performance of a genetic algorithm for the school timetabling problem. - Rushil Raghavjee; Nelishia Pillay (SAICSIT, 2011)

A preliminary study into the use of an evolutionary algorithm hyper-heuristic to solve the nurse rostering problem. - Christopher Rae; Nelishia Pillay (NaBIC, 2012)

A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming. - Anisa W. Ragalo; Nelishia Pillay (NaBIC, 2012)

A comparison of genetic algorithms and genetic programming in solving the school timetabling problem. - Rushil Raghavjee; Nelishia Pillay (NaBIC, 2012)

Evolving hyper-heuristics for the uncapacitated examination timetabling problem. - Nelishia Pillay (J. Oper. Res. Soc., 2012)

A study of evolutionary algorithm selection hyper-heuristics for the one-dimensional bin-packing problem. - Nelishia Pillay (South Afr. Comput. J., 2012)

Finding solutions to sudoku puzzles using human intuitive heuristics. - Nelishia Pillay (South Afr. Comput. J., 2012)

Constrained Minimum-Variance PID Control using Hybrid Nelder-Mead Simplex and Swarm Intelligence. - Nelishia Pillay; P. Govender (ICAART (2), 2013)

A Study of Genetic Algorithms to Solve the School Timetabling Problem. - Rushil Raghavjee; Nelishia Pillay (MICAI (2), 2013)

Solving the 8-puzzle problem using genetic programming. - Kevin Igwe; Nelishia Pillay; Christopher Rae (SAICSIT, 2013)

A comparative study of hyper-heuristics for solving the school timetabling problem. - Nelishia Pillay (SAICSIT, 2013)

Improved evolvability in genetic programming with polyandry. - Anisa W. Ragalo; Nelishia Pillay (South Afr. Comput. J., 2013)

A Hyper-heuristic approach towards mitigating Premature Convergence caused by the objective fitness function in GP. - Anisa W. Ragalo; Nelishia Pillay (ISDA, 2014)

Hybridizing evolutionary algorithms for creating classifier ensembles. - Emmanuel Dufourq; Nelishia Pillay (NaBIC, 2014)

A survey of school timetabling research. - Nelishia Pillay (Ann. Oper. Res., 2014)

XHSTT: an XML archive for high school timetabling problems in different countries. - Gerhard Post; Jeffrey H. Kingston; Samad Ahmadi; Sophia Daskalaki; Christos Gogos; Jari Kyngäs; Cimmo Nurmi; Nysret Musliu; Nelishia Pillay; Haroldo G. Santos; Andrea Schaerf (Ann. Oper. Res., 2014)

Evolving game playing strategies for Othello. - Clive Frankland; Nelishia Pillay (CEC, 2015)

Combining Development and Evolution. - Christopher Rajah; Nelishia Pillay (IJCCI (ECTA), 2015)

Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning. - Clive Frankland; Nelishia Pillay (NaBIC, 2015)

A Hyper-Heuristic Approach to Solving the Ski-Lodge Problem. - Ahmed Hassan; Nelishia Pillay (NaBIC, 2015)

A Study of Genetic Programming and Grammatical Evolution for Automatic Object-Oriented Programming: A Focus on the List Data Structure. - Kevin Igwe; Nelishia Pillay (NaBIC, 2015)

A Generative Hyper-Heuristic for Deriving Heuristics for Classical Artificial Intelligence Problems. - Nelishia Pillay (NaBIC, 2015)

Evolving Game Playing Strategies for Othello Incorporating Reinforcement Learning and Mobility. - Clive Frankland; Nelishia Pillay (SAICSIT, 2015)

Intelligent System Design Using Hyper-Heuristics. - Nelishia Pillay (South Afr. Comput. J., 2015)

Evolving construction heuristics for the curriculum based university course timetabling problem. - Nelishia Pillay (CEC, 2016)

Tutorials at PPSN 2016. - Carola Doerr; Nicolas Bredèche; Enrique Alba 001; Thomas Bartz-Beielstein; Dimo Brockhoff; Benjamin Doerr; Gusz Eiben; Michael G. Epitropakis; Carlos M. Fonseca; Andreia P. Guerreiro; Evert Haasdijk; Jacqueline Heinerman; et al. (PPSN, 2016)

Evolving Construction Heuristics for the Symmetric Travelling Salesman Problem. - Nomzamo Ntombela; Nelishia Pillay (SAICSIT, 2016)

A review of hyper-heuristics for educational timetabling. - Nelishia Pillay (Ann. Oper. Res., 2016)

Incorporating chaos into the developmental approach for solving the examination timetabling problem. - Nelishia Pillay (Int. J. Bio Inspired Comput., 2016)

EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics. - Nelishia Pillay; Derrick Beckedahl (CEC, 2017)

A Meta-Genetic Algorithm for Hybridizing Metaheuristics. - Ahmed Hassan; Nelishia Pillay (EPIA, 2017)

Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm. - Thambo Nyathi; Nelishia Pillay (EvoApplications (2), 2017)

An Improved Meta-Genetic Algorithm for Hybridizing Metaheuristics. - Ahmed Hassan; Nelishia Pillay (CEC, 2018)

A Study of Multi-space Search Optimization. - Derrick Beckedahl; Andreas Nel; Nelishia Pillay (ISDA (1), 2018)

Tutorials at PPSN 2018. - Gisele Lobo Pappa; Michael T. M. Emmerich; Ana L. C. Bazzan; Will N. Browne; Kalyanmoy Deb; Carola Doerr; Marko Durasevic; Michael G. Epitropakis; Saemundur O. Haraldsson; Domagoj Jakobovic; Pascal Kerschke; Krzysztof Krawiec; et al. (PPSN (2), 2018)

Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms. - Thambo Nyathi; Nelishia Pillay (TPNC, 2018)

Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. - Nelishia Pillay; Rong Qu; Dipti Srinivasan; Barbara Hammer; Kenneth Sörensen (IEEE Comput. Intell. Mag., 2018)

Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms. - Thambo Nyathi; Nelishia Pillay (Expert Syst. Appl., 2018)

An investigation of dynamic fitness measures for genetic programming. - Anisa W. Ragalo; Nelishia Pillay (Expert Syst. Appl., 2018)

Evolving dynamic fitness measures for genetic programming. - Anisa W. Ragalo; Nelishia Pillay (Expert Syst. Appl., 2018)

Adaptive and Multilevel Metaheuristics. - Marc Sevaux; Kenneth Sörensen; Nelishia Pillay (Handbook of Heuristics, 2018)

Hyper-Heuristics: Theory and Applications - Nelishia Pillay; Rong Qu (Springer, 2018)

A Grammatical Evolution Approach for the Automated Generation of Perturbative Heuristics. - George Mweshi; Nelishia Pillay (CEC, 2019)

A Structure-Based Partial Solution Search for the Examination Timetabling Problem. - Christopher Rajah; Nelishia Pillay (CEC, 2019)

Automated generation of constructive ordering heuristics for educational timetabling. - Nelishia Pillay; Ender Özcan (Ann. Oper. Res., 2019)

Hybrid metaheuristics: An automated approach. - Ahmed Hassan; Nelishia Pillay (Expert Syst. Appl., 2019)

A Study of Bi-space Search for Solving the One-Dimensional Bin Packing Problem. - Derrick Beckedahl; Nelishia Pillay (ICAISC (2), 2020)

A Comparative Study of Classifiers for Thumbnail Selection. - Kyle Pretorious; Nelishia Pillay (IJCNN, 2020)

Nonlinear Regression in Dynamic Environments Using Particle Swarm Optimization. - Cry Kuranga; Nelishia Pillay (TPNC, 2020)

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design. - Rong Qu; Graham Kendall; Nelishia Pillay (IEEE Comput. Intell. Mag., 2020)

The impact of genetic programming in education. - Nelishia Pillay (Genet. Program. Evolvable Mach., 2020)

Automated Design of Unfolded Metaheuristics and the Effect of Population Size. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (CEC, 2021)

A Comparison of Machine Learning Techniques for Diagnosing Multiple Myeloma. - Luveshan Marimuthu; Nelishia Pillay; Rivak Punchoo; Sachin Bhoora (ICAISC (2), 2021)

Quantifying the Severity of Common Rust in Maize Using Mask R-CNN. - Nelishia Pillay; Mia Gerber; Katerina Holan; Steven A. Whitham; Dave K. Berger (ICAISC (1), 2021)

Ant-Based Hyper-Heuristics for the Movie Scene Scheduling Problem. - Emilio Singh; Nelishia Pillay (ICAISC (2), 2021)

Automated Hyper-Parameter Tuning of a Mask R-CNN for Quantifying Common Rust Severity in Maize. - Mia Gerber; Nelishia Pillay; Katerina Holan; Steven A. Whitham; Dave K. Berger (IJCNN, 2021)

Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (SSCI, 2021)

A Comparative Study of Supervised and Unsupervised Neural Networks for Oral Lesion Detection. - Mia Gerber; Nelishia Pillay; Razia Khammissa (SSCI, 2021)

An Investigation of Automated Design of VMAF. - Ahmed Hassan; Nelishia Pillay (SSCI, 2021)

Population based Reinforcement Learning. - Kyle W. Pretorius; Nelishia Pillay (SSCI, 2021)

A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing. - Darius Scheepers; Nelishia Pillay (SSCI, 2021)

Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-heuristics. - Ahmed Hassan; Nelishia Pillay (TPNC, 2021)

On the Transfer Learning of Genetic Programming Classification Algorithms. - Thambo Nyathi; Nelishia Pillay (TPNC, 2021)

Ant-Based Generation Constructive Hyper-heuristics for the Movie Scene Scheduling Problem. - Emilio Singh; Nelishia Pillay (TPNC, 2021)

An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems. - George Mweshi; Nelishia Pillay (Expert Syst. Appl., 2021)

Genetic programming-based regression for temporal data. - Cry Kuranga; Nelishia Pillay (Genet. Program. Evolvable Mach., 2021)

Assessing hyper-heuristic performance. - Nelishia Pillay; Rong Qu (J. Oper. Res. Soc., 2021)

Guest Editorial: Automated Machine Learning. - Hugo Jair Escalante; Quanming Yao; Wei-Wei Tu; Nelishia Pillay; Rong Qu; Yang Yu 001; Neil Houlsby (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Automated Design (AutoDes): Current Trends and Future Research Directions. - Nelishia Pillay (Automated Design of Machine Learning and Search Algorithms, 2021)

Automated Design of Classification Algorithms. - Nelishia Pillay; Thambo Nyathi (Automated Design of Machine Learning and Search Algorithms, 2021)

A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images. - Tapotosh Ghosh; Md. Hasan Al Banna; M. Jaber Al Nahian; M. Shamim Kaiser; Mufti Mahmud; Shaobao Li; Nelishia Pillay (AII, 2022)

A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (CEC, 2022)

Automated Design of Hybrid Metaheuristics: A Fitness Landscape Analysis. - Ahmed Hassan; Nelishia Pillay (CEC, 2022)

Hybridizing A Genetic Algorithm With Reinforcement Learning for Automated Design of Genetic Algorithms. - Ahmed Hassan; Nelishia Pillay (CEC, 2022)

Bicriterion Coevolution for the Multi-objective Travelling Salesperson Problem. - Ying Ying Liu; Parimala Thulasiraman; Nelishia Pillay (CEC, 2022)

A Study of Transfer Learning in an Ant-Based Generation Construction Hyper-Heuristic. - Emilio Singh; Nelishia Pillay (CEC, 2022)

A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2022)

Transfer learning in evolutionary spaces. - Nelishia Pillay (GECCO Companion, 2022)

Bi-Space Search: Optimizing the Hybridization of Search Spaces in Solving the One Dimensional Bin Packing Problem. - Derrick Beckedahl; Nelishia Pillay (ICAISC (2), 2022)

Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics. - Ahmed Hassan; Nelishia Pillay (ICAISC (1), 2022)

A Comparative Study of Genetic Programming Variants. - Cry Kuranga; Nelishia Pillay (ICAISC (1), 2022)

An Improved Structure-Based Partial Solution Search for the Examination Timetabling Problem. - Christopher Rajah; Nelishia Pillay (ICAISC (2), 2022)

Automated design of feature extraction for unsupervised image clustering using grammatical evolution. - Mia Gerber; Nelishia Pillay (SSCI, 2022)

Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization. - Ying Ying Liu; Parimala Thulasiraman; Nelishia Pillay (SSCI, 2022)

Supplementary-architecture weight-optimization neural networks for advanced weight optimizers. - Jared O'Reilly; Nelishia Pillay (SSCI, 2022)

A Parameter-Based Analysis of Ant-Based Generation Hyper-Heuristics. - Emilio Singh; Nelishia Pillay (SSCI, 2022)

A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting. - Cry Kuranga; Nelishia Pillay (Expert Syst. Appl., 2022)

Supplementary-architecture weight-optimization neural networks. - Jared O'Reilly; Nelishia Pillay (Neural Comput. Appl., 2022)

A study of ant-based pheromone spaces for generation constructive hyper-heuristics. - Emilio Singh; Nelishia Pillay (Swarm Evol. Comput., 2022)

Automated algorithm composition of unsupervised image clustering algorithms. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2023)

An analysis of choice functions for Fuzzy ART using grammatical evolution. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2023)

Iterative Structure-Based Genetic Programming for Neural Architecture Search. - Rahul Kapoor; Nelishia Pillay (GECCO Companion, 2023)

A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming. - Jeffrey Russell; Nelishia Pillay (GECCO Companion, 2023)

A Study of Ant-Based Pheromone Spaces for Generation Perturbative Hyper-Heuristics. - Emilio Singh; Nelishia Pillay (GECCO, 2023)

Dynamic Algorithm Composition for Image Segmentation. - Mia Gerber; Nelishia Pillay (CEC, 2024)

Dynamic Function Generation for Text Classification. - Mia Gerber; Nelishia Pillay (CEC, 2024)

Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. - Guillermo Pérez-Espinosa; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2024)

Dynamic Neural Architecture Search for Image Classification. - Mia Gerber; Nelishia Pillay (GECCO Companion, 2024)

Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. - Weiyao Meng; Rong Qu; Nelishia Pillay (GECCO Companion, 2024)

A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. - Mia Gerber; Nelishia Pillay (ICAISC (2), 2024)

Hybridising Genetic Programming Variants for Regression. - Cry Kuranga; Nelishia Pillay (ICAISC (2), 2024)

A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems. - Nelishia Pillay; Gisele Marais (ICAISC (3), 2024)

Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation. - Michael du Plessis; Nelishia Pillay (ICAISC (2), 2024)

Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer. - George Mweshi; Nelishia Pillay (IJCCI, 2024)

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (Swarm Evol. Comput., 2024)

A genetic programming approach to the automated design of CNN models for image classification and video shorts creation. - Rahul Kapoor; Nelishia Pillay (Genet. Program. Evolvable Mach., 2024)

Neural network crossover in genetic algorithms using genetic programming. - Kyle W. Pretorius; Nelishia Pillay (Genet. Program. Evolvable Mach., 2024)

SPARCQ: Enhancing Scalability and Adaptability of Proactive Edge Caching Through Q-Learning. - Shruti Lall; Johan de Clercq; Nelishia Pillay; Bodhaswar T. Maharaj (IEEE Access, 2025)

Guest Editorial Machine-Learning-Assisted Evolutionary Computation. - Rong Qu; Nelishia Pillay; Emma Hart; Manuel López-Ibáñez 001 (IEEE Trans. Evol. Comput., 2025)