Andries Petrus Engelbrecht

According to our database1, Andries Petrus Engelbrecht authored at least 300 papers between 1995 and 2019.

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

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

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

Loss Surface Modality of Feed-Forward Neural Network Architectures.
CoRR, 2019

Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions.
CoRR, 2019

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

Recent advances in particle swarm optimization analysis and understanding.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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. Evolutionary Computation, 2018

Analysis of selection hyper-heuristics for population-based meta-heuristics in real-valued dynamic optimization.
Swarm and Evolutionary Computation, 2018

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

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

Particle swarm stability: a theoretical extension using the non-stagnate distribution assumption.
Swarm Intelligence, 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 Processing Letters, 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. Systems, Man, and Cybernetics: Systems, 2017

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications.
IEEE Trans. Evolutionary Computation, 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

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 Netw. Learning Syst., 2016

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.
Swarm Intelligence, 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. Evolutionary Computation, 2015

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

Particle swarm variants: standardized convergence analysis.
Swarm Intelligence, 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

Particle Swarm Optimization.
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 and Evolutionary Computation, 2014

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

A generalized theoretical deterministic particle swarm model.
Swarm Intelligence, 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

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 Intelligence, 2013

Differential evolution for dynamic environments with unknown numbers of optima.
J. Global Optimization, 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 Journal on Computing, 2013

Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models.
INFORMS Journal on Computing, 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.
Computer 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 Intelligence, 2012

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

Clustering data in stationary environments with a local network neighborhood artificial immune system.
Int. J. Machine Learning & Cybernetics, 2012

A DNA Sequence Design for DNA Computation Based on Binary Vector Evaluated Particle Swarm Optimization.
IJUC, 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.
European Journal of Operational Research, 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 Intelligence, 2011

Clustering data in an uncertain environment using an artificial immune system.
Pattern Recognition Letters, 2011

Unsupervised discovery of relations for analysis of textual data.
Digital Investigation, 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.
Natural Computing, 2010

A Convergence Proof for the Particle Swarm Optimiser.
Fundam. Inform., 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.
Annals OR, 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. Evolutionary Computation, 2009

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

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

Bare bones differential evolution.
European Journal of Operational Research, 2009

Congestion Control in Wireless Sensor Networks Based on the Bird Flocking Behavior.
Proceedings of the Self-Organizing Systems, 4th IFIP TC 6 International Workshop, 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. Intelligent Computing and Cybernetics, 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. Inform., 2007

Empirical analysis of self-adaptive differential evolution.
European Journal of Operational Research, 2007

Genetic algorithms for the structural optimisation of learned polynomial expressions.
Applied Mathematics and Computation, 2007

Locating multiple optima using particle swarm optimization.
Applied Mathematics and Computation, 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

A comparative study of sample selection methods for classification.
South African Computer Journal, 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. Evolutionary Computation, 2005

Evolving intelligent game-playing agent.
South African Computer Journal, 2005

Composing linear evaluation functions from observable features.
South African Computer Journal, 2005

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

Particle swarm optimization method for image clustering.
IJPRAI, 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. Evolutionary Computation, 2004

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

Social networks as a task allocation tool for multi-robot teams.
South African Computer Journal, 2004

Evolving intelligent game-playing agents.
South African Computer Journal, 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

A new particle swarm optimiser for linearly constrained optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

Data clustering using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

Comparing PSO structures to learn the game of checkers from zero knowledge.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
Supervised Training Using an Unsupervised Approach to Active Learning.
Neural Processing Letters, 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. Inform., 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 African Computer Journal, 2000

Cooperative learning in neural networks using particle swarm optimizers.
South African Computer Journal, 2000

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

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

1999
Sensitivity Analysis for Decision Boundaries.
Neural Processing Letters, 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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