Andries P. Engelbrecht

Orcid: 0000-0002-0242-3539

Affiliations:
  • University of Stellenbosch, Computer Science Division, South Africa
  • University of Pretoria, Department of Computer Science, South Africa


According to our database1, Andries P. Engelbrecht authored at least 382 papers between 1995 and 2025.

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Bibliography

2025
Training feedforward neural networks with Bayesian hyper-heuristics.
Inf. Sci., 2025

2024
Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems.
Swarm Intell., September, 2024

Ants 2022 special issue.
Swarm Intell., September, 2024

Fitness Landscape Analysis of Product Unit Neural Networks.
Algorithms, June, 2024

Belief space-guided approach to self-adaptive particle swarm optimization.
Swarm Intell., March, 2024

A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2024

Regularised feed forward neural networks for streamed data classification problems.
Eng. Appl. Artif. Intell., 2024

Set-Based Particle Swarm Optimization for the Multi-objective Multi-dimensional Knapsack Problem.
Proceedings of the Advances in Swarm Intelligence, 2024

2023
Meta-heuristics for portfolio optimization.
Soft Comput., December, 2023

Feature-Based Complexity Measure for Multinomial Classification Datasets.
Entropy, July, 2023

The Porcupine Measure for Comparing the Performance of Multi-Objective Optimization Algorithms.
Algorithms, June, 2023

Multi-Guide Set-Based Particle Swarm Optimization for Multi-Objective Portfolio Optimization.
Algorithms, February, 2023

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems.
Swarm Evol. Comput., 2023

Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

Meta-heuristics for Portfolio Optimization: Part I - Review of Meta-heuristics.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

A Cautionary Note on Poli's Stability Condition for Particle Swarm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Set-based Particle Swarm Optimization for Data Clustering: Comparison and Analysis of Control Parameters.
Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

Assessing the Generalizability of a Performance Predictive Model.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Performance Analysis of Hybrid Sampling and Meta-heuristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Empirical Loss Landscape Analysis of Neural Network Activation Functions.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems.
Swarm Intell., 2022

The influence of fitness landscape characteristics on particle swarm optimisers.
Nat. Comput., 2022

Improved Hamming Diversity Measure for Set-Based Optimization Algorithms.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Stability-Guided Multi-Guide Particle Swarm Optimization.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Static Polynomial Approximation Using Set-based Particle Swarm Optimisation.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Set-based Particle Swarm Optimization for Data Clustering.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Rule Induction Using Set-Based Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

Stability-Guided Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021
Performance analysis of dynamic optimization algorithms using relative error distance.
Swarm Evol. Comput., 2021

A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives.
Swarm Evol. Comput., 2021

Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments.
Neural Comput. Appl., 2021

Characterisation of environment type and difficulty for streamed data classification problems.
Inf. Sci., 2021

An analysis of the impact of subsampling on the neural network error surface.
Neurocomputing, 2021

Diversity Measures for Niching Algorithms.
Algorithms, 2021

A Feature Selection Algorithm Performance Metric for Comparative Analysis.
Algorithms, 2021

An Exploratory Landscape Analysis-Based Benchmark Suite.
Algorithms, 2021

Polynomial Approximation Using Set-Based Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Two Modified NichePSO Algorithms for Multimodal Optimization.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Multi-guide Particle Swarm Optimisation Control Parameter Importance in High Dimensional Spaces.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

A Tuning Free Approach to Multi-guide Particle Swarm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Impacted Tooth Detection in Panoramic Radiographs.
Proceedings of the Advances in Computational Intelligence, 2021

Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization.
Proceedings of the Advances in Computational Intelligence, 2021

A Convolutional Neural Network for Dental Panoramic Radiograph Classification.
Proceedings of the ISMSI 2021: 2021 5th International Conference on Intelligent Systems, 2021

Recent advances in particle swarm optimization analysis and understanding 2021.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training.
Neural Process. Lett., 2020

An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks.
Neural Process. Lett., 2020

Movement patterns of a particle swarm in high dimensional spaces.
Inf. Sci., 2020

Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions.
Neurocomputing, 2020

A memory guided sine cosine algorithm for global optimization.
Eng. Appl. Artif. Intell., 2020

Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach.
CoRR, 2020

Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia.
Comput. Electron. Agric., 2020

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps.
IEEE Access, 2020

Analysis of Particle Swarm Optimisation for Training Support Vector Machines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improved Set-based Particle Swarm optimization for Portfolio optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Dynamic Multi-Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Swarm Based Algorithms for Neural Network Training.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Mixtures of Heterogeneous Experts.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020

Partial Dominance for Many-Objective Optimization.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020

Empirical Analysis of A Partial Dominance Approach to Many-Objective Optimisation.
Proceedings of the ISMSI '20: 2020 4th International Conference on Intelligent Systems, 2020

Loss Surface Modality of Feed-Forward Neural Network Architectures.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Distributed random walks for fitness landscape analysis.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Recent advances in particle swarm optimization analysis and understanding.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Heuristic Space Diversity Measures for Population-based Hyper-heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Decision Space Coverage of Random Walks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Set-Based Particle Swarm Optimization for Portfolio Optimization.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

Fitting Gaussian Mixture Models Using Cooperative Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

Control Parameter Importance and Sensitivity Analysis of the Multi-Guide Particle Swarm Optimization Algorithm.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

2019
Multi-guide particle swarm optimization for multi-objective optimization: empirical and stability analysis.
Swarm Intell., 2019

Degrees of stochasticity in particle swarm optimization.
Swarm Intell., 2019

Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary?
Neural Process. Lett., 2019

A parameter-free particle swarm optimization algorithm using performance classifiers.
Inf. Sci., 2019

Co-evolved genetic programs for stock market trading.
Intell. Syst. Account. Finance Manag., 2019

Towards programmable on-demand lightpath services: current state-of-the-art and open research areas.
IET Networks, 2019

Set based particle swarm optimization for the feature selection problem.
Eng. Appl. Artif. Intell., 2019

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

On the Robustness of Random Walks for Fitness Landscape Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A generator for dynamically constrained optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolutionary and swarm-intelligence algorithms through monadic composition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Insights into the Feature Selection Problem Using Local Optima Networks.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Scalability Study of Many-Objective Optimization Algorithms.
IEEE Trans. Evol. Comput., 2018

Analysis of selection hyper-heuristics for population-based meta-heuristics in real-valued dynamic optimization.
Swarm Evol. Comput., 2018

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.
Swarm Evol. Comput., 2018

Self-adaptive particle swarm optimization: a review and analysis of convergence.
Swarm Intell., 2018

Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption.
Swarm Intell., 2018

Arithmetic and parent-centric headless chicken crossover operators for dynamic particle swarm optimization algorithms.
Soft Comput., 2018

Fitness Landscape Analysis of Weight-Elimination Neural Networks.
Neural Process. Lett., 2018

Multimodal Emotion Recognition using Deep Continuous Conditional Recurrent Neural Fields.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Filter versus wrapper feature selection based on problem landscape features.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Particle swarm optimization: a guide to effective, misconception free, real world use.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Progressive gradient walk for neural network fitness landscape analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environments.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Boundary Constraint Handling Techniques for Particle Swarm Optimization in High Dimensional Problem Spaces.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

The Importance of Component-Wise Stochasticity in Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Gaussian-Valued Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Stability Analysis of the Multi-objective Multi-guided Particle Swarm Optimizer.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
Gramophone Noise Detection and Reconstruction Using Time Delay Artificial Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications.
IEEE Trans. Evol. Comput., 2017

A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Quantified pareto-optimal front comparisons using attainment surfaces.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

The merits of velocity clamping particle swarm optimisation in high dimensional spaces.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An adaptive particle swarm optimization algorithm based on optimal parameter regions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Firefly optimization: A study on frame invariance.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Bio-acoustic emotion recognition using continuous conditional recurrent neural fields.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Training Convolutional Neural Networks with Class Based Data Augmentation for Detecting Distracted Drivers.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017

Fitness-distance-ratio particle swarm optimization: stability analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Vector evaluated particle swarm optimization: The archive's influence on performance.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Optimal parameter regions for particle swarm optimization algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2016

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.
Swarm Intell., 2016

Training multi-agent teams from zero knowledge with the competitive coevolutionary team-based particle swarm optimiser.
Soft Comput., 2016

Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem.
Appl. Intell., 2016

Particle swarm optimization with crossover: a review and empirical analysis.
Artif. Intell. Rev., 2016

An Analysis of Competitive Coevolutionary Particle Swarm Optimizers to Train Neural Network Game Tree Evaluation Functions.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Headless Chicken Particle Swarm Optimization Algorithms.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Hyper-heuristics for the Flexible Job Shop Scheduling Problem with Additional Constraints.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Heterogeneous Vector-Evaluated Particle Swarm Optimisation in Static Environments.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Vector evaluated particle swarm optimization archive management: Pareto optimal front diversity sensitivity analysis.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Misleading Pareto optimal front diversity metrics: Spacing and distribution.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An investigation into the effect of unlabeled neurons on Self-Organizing Maps.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Particle swarm optimizer: The impact of unstable particles on performance.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Search space boundaries in neural network error landscape analysis.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Group-based stochastic scaling for PSO velocities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Analysis of activation functions for particle swarm optimised feedforward neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Vector evaluated particle swarm optimization exploration behavior part II: Quantitative analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Vector evaluated particle swarm optimization exploration behavior part I: Explorative analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Analysis of error landscapes in multi-layered neural networks for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Performance measures for niching algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Pareto-based many-objective optimization using knee points.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Key challenges and future directions of dynamic multi-objective optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A radius-free quantum particle swarm optimization technique for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The sad state of self-adaptive particle swarm optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Unified particle swarm optimizer: Convergence analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets.
IEEE Trans. Evol. Comput., 2015

Critical considerations on angle modulated particle swarm optimisers.
Swarm Intell., 2015

Particle swarm variants: standardized convergence analysis.
Swarm Intell., 2015

Heuristic space diversity control for improved meta-hyper-heuristic performance.
Inf. Sci., 2015

A Subspace-Based Method for PSO Initialization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Measuring Saturation in Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Towards A Generic Computational Intelligence Library: Preventing Insanity.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Frequency Distribution of Candidate Solutions in Angle Modulated Particle Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Dynamic Vector-Evaluated PSO with Guaranteed Convergence in the Sub-Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Metric-Based Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Feature Reduction for Dimensional Emotion Recognition in Human-Robot Interaction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Gramophone Noise Reconstruction - A Comparative Study of Interpolation Algorithms for Noise Reduction.
Proceedings of the SIGMAP 2015, 2015

Using Headless Chicken Crossover for Local Guide Selection When Solving Dynamic Multi-objective Optimization.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Signal Modelling for the Digital Reconstruction of Gramophone Noise.
Proceedings of the E-Business and Telecommunications - 12th International Joint Conference, 2015

The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Self-Adapting the Brownian Radius in a Differential Evolution Algorithm for Dynamic Environments.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

Analysis of global information sharing in hyper-heuristics for different dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Saturation in PSO neural network training: Good or evil?
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Characterising constrained continuous optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Influence of the archive size on the performance of the dynamic vector evaluated particle swarm optimisation algorithm solving dynamic multi-objective optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Vector-evaluated particle swarm optimization with local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Fully informed particle swarm optimizer: Convergence analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evaluating landscape characteristics of dynamic benchmark functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Continuous emotion recognition using a particle swarm optimized NARX neural network.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014
Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems.
Swarm Evol. Comput., 2014

Characterising the searchability of continuous optimisation problems for PSO.
Swarm Intell., 2014

A generalized theoretical deterministic particle swarm model.
Swarm Intell., 2014

Benchmarks for dynamic multi-objective optimisation algorithms.
ACM Comput. Surv., 2014

Simulated evolution and simulated annealing algorithms for solving multi-objective open shortest path first weight setting problem.
Appl. Intell., 2014

Comparison of self-adaptive particle swarm optimizers.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Analysis of stagnation behaviour of competitive coevolutionary trained neuro-controllers.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Weight regularisation in particle swarm optimisation neural network training.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Particle swarm optimisation failure prediction based on fitness landscape characteristics.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Using heterogeneous knowledge sharing strategies with dynamic vector-evaluated particle swarm optimisation.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Fitness function evaluations: A fair stopping condition?
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Asynchronous particle swarm optimization with discrete crossover.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

Training high-dimensional neural networks with cooperative particle swarm optimiser.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

The entity-to-algorithm allocation problem: extending the analysis.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Analysis of hyper-heuristic performance in different dynamic environments.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

Competitive coevolutionary training of simple soccer agents from zero knowledge.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Carry trade portfolio optimization using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A progressive random walk algorithm for sampling continuous fitness landscapes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Parameter optimization by means of statistical quality guides in F-Race.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Heuristic space diversity management in a meta-hyper-heuristic framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Cooperative DynDE for temporal data clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Analysis and classification of optimisation benchmark functions and benchmark suites.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Particle swarm convergence: An empirical investigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Angle Modulated Particle Swarm Variants.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

Particle Swarm Convergence: Standardized Analysis and Topological Influence.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

Diversity Rate of Change Measurement for Particle Swarm Optimisers.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

Nature-Inspired Swarm Robotics Algorithms for Prioritized Foraging.
Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013
Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

Dynamic Multi-Objective Optimization Using PSO.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

ANTS 2012 special issue - Editorial.
Swarm Intell., 2013

Differential evolution for dynamic environments with unknown numbers of optima.
J. Glob. Optim., 2013

A survey of techniques for characterising fitness landscapes and some possible ways forward.
Inf. Sci., 2013

Performance measures for dynamic multi-objective optimisation algorithms.
Inf. Sci., 2013

Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining.
INFORMS J. Comput., 2013

Base Model Combination Algorithm for Resolving Tied Predictions for <i>K</i>-Nearest Neighbor OVA Ensemble Models.
INFORMS J. Comput., 2013

Application of the feature-detection rule to the Negative Selection Algorithm.
Expert Syst. Appl., 2013

Congestion control in wireless sensor networks based on bird flocking behavior.
Comput. Networks, 2013

Cooperative particle swarm optimization in dynamic environments.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Analysis of stagnation behavior of vector evaluated particle swarm optimization.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Fruitless search in differential evolution.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

Dynamic Differential Evolution Algorithm for Clustering Temporal Data.
Proceedings of the Large-Scale Scientific Computing - 9th International Conference, 2013

Steep gradients as a predictor of PSO failure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Benchmarks for dynamic multi-objective optimisation.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

Issues with performance measures for dynamic multi-objective optimisation.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

A self-adaptive heterogeneous pso for real-parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

On the optimality of particle swarm parameters in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Analysing the performance of dynamic multi-objective optimisation algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A scalability study of multi-objective particle swarm optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Multi-method algorithms: Investigating the entity-to-algorithm allocation problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A cooperative multi-population approach to clustering temporal data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Particle swarm optimization with discrete crossover.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Training feedforward neural networks with dynamic particle swarm optimisation.
Swarm Intell., 2012

Set-based particle swarm optimization applied to the multidimensional knapsack problem.
Swarm Intell., 2012

Clustering data in stationary environments with a local network neighborhood artificial immune system.
Int. J. Mach. Learn. Cybern., 2012

A DNA Sequence Design for DNA Computation Based on Binary Vector Evaluated Particle Swarm Optimization.
Int. J. Unconv. Comput., 2012

Using OVA modeling to improve classification performance for large datasets.
Expert Syst. Appl., 2012

Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments.
Eur. J. Oper. Res., 2012

A fuzzy particle swarm optimization algorithm for computer communication network topology design.
Appl. Intell., 2012

Unsupervised Weight-Based Cluster Labeling for Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Self-Adaptive Particle Swarm Optimization.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Investigating the use of local search for improving meta-hyper-heuristic performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Particle swarm optimization: Velocity initialization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Towards a more complete classification system for dynamically changing environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Self-adaptive Heterogeneous PSO Inspired by Ants.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Scalability Study of Particle Swarm Optimizers in Dynamic Environments.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Dynamic Load Balancing Inspired by Cemetery Formation in Ant Colonies.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

The Self-adaptive Comprehensive Learning Particle Swarm Optimizer.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Measuring Diversity in the Cooperative Particle Swarm Optimizer.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Piecewise Linear Approximation of n-Dimensional Parametric Curves Using Particle Swarms.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Performance of Bacterial Foraging Optimization in Dynamic Environments.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011
ANTS 2010 special issue - Editorial.
Swarm Intell., 2011

Clustering data in an uncertain environment using an artificial immune system.
Pattern Recognit. Lett., 2011

Unsupervised discovery of relations for analysis of textual data.
Digit. Investig., 2011

A polar coordinate particle swarm optimiser.
Appl. Soft Comput., 2011

Using sequential deviation to dynamically determine the number of clusters found by a local network neighbourhood artificial immune system.
Appl. Soft Comput., 2011

Lambda-gamma learning with feedforward neural networks using particle swarm optimization.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Binary artificial bee colony optimization.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Heterogeneous particle swarms in dynamic environments.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Dynamic load balancing inspired by division of labour in ant colonies.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Scalability of a heterogeneous particle swarm optimizer.
Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

Self-adaptive competitive differential evolution for dynamic environments.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Applying swarm intelligence to a novel congestion control approach for wireless sensor networks.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Assessment of the "Evaluation" function in the simulated evolution algorithm.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Coevolutionary particle swarm optimization for evolving trend reversal indicators.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011

Comparison of trade decision strategies in an equity market GA trader.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011

Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

The sensitivity of single objective optimization algorithm control parameter values under different computational constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Dynamic Multi-objective Optimisation Using PSO.
Proceedings of the Multi-Objective Swarm Intelligent Systems - Theory & Experiences, 2010

A novel particle swarm niching technique based on extensive vector operations.
Nat. Comput., 2010

A Convergence Proof for the Particle Swarm Optimiser.
Fundam. Informaticae, 2010

A decision rule-based method for feature selection in predictive data mining.
Expert Syst. Appl., 2010

Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time.
Ann. Oper. Res., 2010

Overfitting by PSO trained feedforward neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Swarm Tetris: Applying particle swarm optimization to tetris.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Alternative hyper-heuristic strategies for multi-method global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Effect of Particle Initialization on the Performance of Particle Swarm Niching Algorithms.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Heterogeneous Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009
Editorial Special Issue: Swarm Intelligence.
IEEE Trans. Evol. Comput., 2009

Editorial for the special issue on Particle Swarm Optimization.
Swarm Intell., 2009

Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks.
Soft Comput., 2009

Bare bones differential evolution.
Eur. J. Oper. Res., 2009

Implementation of Binary Particle Swarm Optimization for DNA Sequence Design.
Proceedings of the Distributed Computing, 2009

Niche Particle Swarm Optimization for Neural Network Ensembles.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

HybridSOM: A generic rule extraction framework for self-organizing feature maps.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Scalability of the vector-based Particle Swarm Optimizer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Adaptive Genetic Programming for dynamic classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Training neural networks with PSO in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Free Search Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

An analysis of heterogeneous cooperative algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Quantifying ruggedness of continuous landscapes using entropy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Hybridizing PSO and DE for improved vector evaluated multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Employing the flocking behavior of birds for controlling congestion in autonomous decentralized networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Particle swarm optimization.
Scholarpedia, 2008

Social networks in simulated multi-robot environment.
Int. J. Intell. Comput. Cybern., 2008

Evolving model trees for mining data sets with continuous-valued classes.
Expert Syst. Appl., 2008

Particle swarm optimization with spatially meaningful neighbours.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

A fuzzy ant colony optimization algorithm for topology design of distributed local area networks.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

CIlib: A collaborative framework for Computational Intelligence algorithms - Part I.
Proceedings of the International Joint Conference on Neural Networks, 2008

A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps.
Proceedings of the International Joint Conference on Neural Networks, 2008

CIlib: A collaborative framework for Computational Intelligence algorithms - Part II.
Proceedings of the International Joint Conference on Neural Networks, 2008

Cooperative charged particle swarm optimiser.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Improved differential evolution for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Measuring exploration/exploitation in particle swarms using swarm diversity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Algorithm comparisons and the significance of population size.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Multi-objective DE and PSO strategies for production scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Towards a self regulating local network neighbourhood artificial immune system for data clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

A Model to Optimize DNA Sequences Based on Particle Swarm Optimization.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2007
A new fuzzy operator and its application to topology design of distributed local area networks.
Inf. Sci., 2007

An overview of clustering methods.
Intell. Data Anal., 2007

Particle Swarms for Linearly Constrained Optimisation.
Fundam. Informaticae, 2007

Empirical analysis of self-adaptive differential evolution.
Eur. J. Oper. Res., 2007

A Comparative study of sample selection methods for classification.
ARIMA J., 2007

Genetic algorithms for the structural optimisation of learned polynomial expressions.
Appl. Math. Comput., 2007

Locating multiple optima using particle swarm optimization.
Appl. Math. Comput., 2007

Barebones Particle Swarm for Integer Programming Problems.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Differential Evolution Based Particle Swarm Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Particle swarm optimization: an introduction and its recent developments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A starting-time-based approach to production scheduling with Particle Swarm Optimization.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Tournament Particle Swarm Optimization.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

Self-adaptive barebones differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Differential evolution for integer programming problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Differential evolution in high-dimensional search spaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A local network neighbourhood artificial immune system for data clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Binary differential evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Enhancing the NichePSO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Computational Intelligence: An Introduction, Second Edition.
Wiley, ISBN: 978-0-470-03561-0, 2007

2006
Particle Swarm Optimization for Pattern Recognition and Image Processing.
Proceedings of the Swarm Intelligence in Data Mining, 2006

Dynamic clustering using particle swarm optimization with application in image segmentation.
Pattern Anal. Appl., 2006

A study of particle swarm optimization particle trajectories.
Inf. Sci., 2006

Niching for Dynamic Environments Using Particle Swarm Optimization.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Using the Ring Neighborhood Topology with Self-adaptive Differential Evolution.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Training Bao Game-Playing Agents using Coevolutionary Particle Swarm Optimization.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG06), 2006

Binary Differential Evolution.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Determining RNA Secondary Structure using Set-based Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Comparing Particle Swarm Optimisation and Genetic Algorithms for Nonlinear Mapping.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma.
IEEE Trans. Evol. Comput., 2005

Evolving intelligent game-playing agent.
South Afr. Comput. J., 2005

Composing linear evaluation functions from observable features.
South Afr. Comput. J., 2005

A Color Image Quantization Algorithm Based on Particle Swarm Optimization.
Informatica (Slovenia), 2005

Particle swarm optimization method for image clustering.
Int. J. Pattern Recognit. Artif. Intell., 2005

CiClops: computational intelligence collaborative laboratory of pantological software.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Niching ability of basic particle swarm optimization algorithms.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Self-adaptive Differential Evolution.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

Coevolving Probabilistic Game Playing Agents using Particle Swarm Optimization Algorithm.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

Combining particle swarm optimisation with angle modulation to solve binary problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Differential evolution methods for unsupervised image classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Investigating binary PSO parameter influence on the knights cover problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Nonlinear mapping using particle swarm optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Fundamentals of Computational Swarm Intelligence.
Wiley, ISBN: 978-0-470-09191-3, 2005

2004
A Cooperative Approach to Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2004

Learning to Play Games Using a PSO-Based Competitive Learning Approach.
IEEE Trans. Evol. Comput., 2004

Social networks as a task allocation tool for multi-robot teams.
South Afr. Comput. J., 2004

Evolving intelligent game-playing agents.
South Afr. Comput. J., 2004

PSO approaches to coevolve IPD strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Using neighbourhoods with the guaranteed convergence PSO.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Scalability of niche PSO.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

CIRG@UP OptiBench: a statistically sound framework for benchmarking optimisation algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A new particle swarm optimiser for linearly constrained optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Data clustering using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Comparing PSO structures to learn the game of checkers from zero knowledge.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Supervised Training Using an Unsupervised Approach to Active Learning.
Neural Process. Lett., 2002

Image Classification using Particle Swarm Optimization.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Computational Intelligence: An Introduction
Wiley, ISBN: 978-0-47051251-7, 2002

2001
A new pruning heuristic based on variance analysis of sensitivity information.
IEEE Trans. Neural Networks, 2001

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks.
Fundam. Informaticae, 2001

Selective Learning for Multilayer Feedforward Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Using the Taylor expansion of multilayer feedforward neural networks.
South Afr. Comput. J., 2000

Cooperative learning in neural networks using particle swarm optimizers.
South Afr. Comput. J., 2000

Message from the Guest Editor.
Int. J. Comput. Syst. Signals, 2000

Global Optimization Algorithms for Training Product Unit Neural Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Searching the forest: using decision trees as building blocks for evolutionary search in classification databases.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Sensitivity Analysis for Decision Boundaries.
Neural Process. Lett., 1999

Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Variance analysis of sensitivity information for pruning multilayer feedforward neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Incremental learning using sensitivity analysis.
Proceedings of the International Joint Conference Neural Networks, 1999

Approximation of a function and its derivatives in feedforward neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

1996
A sensitivity analysis algorithm for pruning feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Determining the Significance of Input Parameters using Sensitivity Analysis.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Automatic Scaling using Gamma Learning for Feedforward Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Reduction of symbolic rules from artificial neural networks using sensitivity analysis.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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