Nelishia Pillay

Orcid: 0000-0003-3902-5582

According to our database1, Nelishia Pillay authored at least 129 papers between 2002 and 2024.

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Bibliography

2024
Neural network crossover in genetic algorithms using genetic programming.
Genet. Program. Evolvable Mach., June, 2024

A genetic programming approach to the automated design of CNN models for image classification and video shorts creation.
Genet. Program. Evolvable Mach., June, 2024

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems.
Swarm Evol. Comput., 2024

Improving the Performance of Genetic Algorithms for Combinatorial Optimization Using Machine Learning for Knowledge Transfer.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Dynamic Neural Architecture Search for Image Classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Dynamic Function Generation for Text Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Dynamic Algorithm Composition for Image Segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
A Study of Ant-Based Pheromone Spaces for Generation Perturbative Hyper-Heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Iterative Structure-Based Genetic Programming for Neural Architecture Search.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

An analysis of choice functions for Fuzzy ART using grammatical evolution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Automated algorithm composition of unsupervised image clustering algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
A study of ant-based pheromone spaces for generation constructive hyper-heuristics.
Swarm Evol. Comput., 2022

Supplementary-architecture weight-optimization neural networks.
Neural Comput. Appl., 2022

A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting.
Expert Syst. Appl., 2022

A Parameter-Based Analysis of Ant-Based Generation Hyper-Heuristics.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Supplementary-architecture weight-optimization neural networks for advanced weight optimizers.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Automated design of feature extraction for unsupervised image clustering using grammatical evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Improved Structure-Based Partial Solution Search for the Examination Timetabling Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

A Comparative Study of Genetic Programming Variants.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Bi-Space Search: Optimizing the Hybridization of Search Spaces in Solving the One Dimensional Bin Packing Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Transfer learning in evolutionary spaces.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

A Study of Transfer Learning in an Ant-Based Generation Construction Hyper-Heuristic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Bicriterion Coevolution for the Multi-objective Travelling Salesperson Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Hybridizing A Genetic Algorithm With Reinforcement Learning for Automated Design of Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Automated Design of Hybrid Metaheuristics: A Fitness Landscape Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images.
AII, 2022

2021
Automated Design of Classification Algorithms.
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021

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

Guest Editorial: Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Assessing hyper-heuristic performance.
J. Oper. Res. Soc., 2021

Genetic programming-based regression for temporal data.
Genet. Program. Evolvable Mach., 2021

An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems.
Expert Syst. Appl., 2021

Ant-Based Generation Constructive Hyper-heuristics for the Movie Scene Scheduling Problem.
Proceedings of the Theory and Practice of Natural Computing, 2021

On the Transfer Learning of Genetic Programming Classification Algorithms.
Proceedings of the Theory and Practice of Natural Computing, 2021

Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-heuristics.
Proceedings of the Theory and Practice of Natural Computing, 2021

A Study of Transfer Learning in a Generation Constructive Hyper-Heuristic for One Dimensional Bin Packing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Population based Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Investigation of Automated Design of VMAF.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Comparative Study of Supervised and Unsupervised Neural Networks for Oral Lesion Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Automated Hyper-Parameter Tuning of a Mask R-CNN for Quantifying Common Rust Severity in Maize.
Proceedings of the International Joint Conference on Neural Networks, 2021

Ant-Based Hyper-Heuristics for the Movie Scene Scheduling Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Quantifying the Severity of Common Rust in Maize Using Mask R-CNN.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

A Comparison of Machine Learning Techniques for Diagnosing Multiple Myeloma.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Automated Design of Unfolded Metaheuristics and the Effect of Population Size.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
The impact of genetic programming in education.
Genet. Program. Evolvable Mach., 2020

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design.
IEEE Comput. Intell. Mag., 2020

Nonlinear Regression in Dynamic Environments Using Particle Swarm Optimization.
Proceedings of the Theory and Practice of Natural Computing - 9th International Conference, 2020

A Comparative Study of Classifiers for Thumbnail Selection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Study of Bi-space Search for Solving the One-Dimensional Bin Packing Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Hybrid metaheuristics: An automated approach.
Expert Syst. Appl., 2019

Automated generation of constructive ordering heuristics for educational timetabling.
Ann. Oper. Res., 2019

A Structure-Based Partial Solution Search for the Examination Timetabling Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Grammatical Evolution Approach for the Automated Generation of Perturbative Heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Hyper-Heuristics: Theory and Applications
Natural Computing Series, Springer, ISBN: 978-3-319-96513-0, 2018

Adaptive and Multilevel Metaheuristics.
Proceedings of the Handbook of Heuristics., 2018

Evolving dynamic fitness measures for genetic programming.
Expert Syst. Appl., 2018

An investigation of dynamic fitness measures for genetic programming.
Expert Syst. Appl., 2018

Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms.
Expert Syst. Appl., 2018

Automated Design of Machine Learning and Search Algorithms [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Automated Design of Genetic Programming Classification Algorithms for Financial Forecasting Using Evolutionary Algorithms.
Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018


A Study of Multi-space Search Optimization.
Proceedings of the Intelligent Systems Design and Applications, 2018

An Improved Meta-Genetic Algorithm for Hybridizing Metaheuristics.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

A Meta-Genetic Algorithm for Hybridizing Metaheuristics.
Proceedings of the Progress in Artificial Intelligence, 2017

EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Incorporating chaos into the developmental approach for solving the examination timetabling problem.
Int. J. Bio Inspired Comput., 2016

A review of hyper-heuristics for educational timetabling.
Ann. Oper. Res., 2016

Evolving Construction Heuristics for the Symmetric Travelling Salesman Problem.
Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2016


Evolving construction heuristics for the curriculum based university course timetabling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Intelligent System Design Using Hyper-Heuristics.
South Afr. Comput. J., 2015

Evolving Game Playing Strategies for Othello Incorporating Reinforcement Learning and Mobility.
Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists, 2015

A Generative Hyper-Heuristic for Deriving Heuristics for Classical Artificial Intelligence Problems.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

A Study of Genetic Programming and Grammatical Evolution for Automatic Object-Oriented Programming: A Focus on the List Data Structure.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

A Hyper-Heuristic Approach to Solving the Ski-Lodge Problem.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Combining Development and Evolution.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Evolving game playing strategies for Othello.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
XHSTT: an XML archive for high school timetabling problems in different countries.
Ann. Oper. Res., 2014

A survey of school timetabling research.
Ann. Oper. Res., 2014

Hybridizing evolutionary algorithms for creating classifier ensembles.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

A Hyper-heuristic approach towards mitigating Premature Convergence caused by the objective fitness function in GP.
Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

2013
Improved evolvability in genetic programming with polyandry.
South Afr. Comput. J., 2013

A comparative study of hyper-heuristics for solving the school timetabling problem.
Proceedings of the 2013 South African Institute for Computer Scientists and Information Technologists, 2013

Solving the 8-puzzle problem using genetic programming.
Proceedings of the 2013 South African Institute for Computer Scientists and Information Technologists, 2013

A Study of Genetic Algorithms to Solve the School Timetabling Problem.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Constrained Minimum-Variance PID Control using Hybrid Nelder-Mead Simplex and Swarm Intelligence.
Proceedings of the ICAART 2013, 2013

2012
Finding solutions to sudoku puzzles using human intuitive heuristics.
South Afr. Comput. J., 2012

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

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

A comparison of genetic algorithms and genetic programming in solving the school timetabling problem.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

A preliminary study into the use of an evolutionary algorithm hyper-heuristic to solve the nurse rostering problem.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

2011
The effect of construction heuristics on the performance of a genetic algorithm for the school timetabling problem.
Proceedings of the 2011 Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2011

2010
An informed genetic algorithm for the examination timetabling problem.
Appl. Soft Comput., 2010

An informed genetic algorithm for the high school timetabling problem.
Proceedings of the 2010 Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2010

A study into the use of hyper-heuristics to solve the school timetabling problem.
Proceedings of the 2010 Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2010

An empirical study into the structure of heuristic combinations in an evolutionary algorithm hyper-heuristic for the examination timetabling problem.
Proceedings of the 2010 Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2010

Using genetic algorithms to solve the South African school timetabling problem.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

An evolutionary algorithm hyper-heuristic for producing feasible timetables for the curriculum based university course timetabling problem.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

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

A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem.
Eur. J. Oper. Res., 2009

The revised developmental approach to the uncapacitated examination timetabling problem.
Proceedings of the 2009 Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2009

Evolving Solutions to the School Timetabling Problem.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

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

An application of genetic algorithms to the school timetabling problem.
Proceedings of the 2008 Annual Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, 2008

An analysis of representations for hyper-heuristics for the uncapacitated examination timetabling problem in a genetic programming system.
Proceedings of the 2008 Annual Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, 2008

A Developmental Approach to the Uncapacitated Examination Timetabling Problem.
Proceedings of the Parallel Problem Solving from Nature, 2008

Using Genetic Programming for Turing Machine Induction.
Proceedings of the Genetic Programming, 11th European Conference, 2008

2007
Why complex systems engineering needs biological development.
Complex., 2007

A hybrid approach to automatic programming for the object-oriented programming paradigm.
Proceedings of the 2007 Annual Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, 2007

Evolving pushdown automata.
Proceedings of the 2007 Annual Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, 2007

The Induction of Finite Transducers Using Genetic Programming.
Proceedings of the Genetic Programming, 10th European Conference, 2007

A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem.
Proceedings of the Progress in Artificial Intelligence, 2007

2005
An investigation into student characteristics affecting novice programming performance.
ACM SIGCSE Bull., 2005

An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
A first course in genetic programming.
ACM SIGCSE Bull., 2004

Analysis of Spreadsheet Errors Made by Computer Literacy Students.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2003
Developing intelligent programming tutors for novice programmers.
ACM SIGCSE Bull., 2003

2002
Using genetic programming for the induction of novice procedural programming solution algorithms.
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002


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