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Particle swarm optimization with crossover: a review and empirical analysis

The Artificial intelligence review, 2016-02, Vol.45 (2), p.131-165

Engelbrecht, A. P.

2016

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A study of particle swarm optimization particle trajectories

Information sciences, 2006-04, Vol.176 (8), p.937-971

2006

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A new pruning heuristic based on variance analysis of sensitivity information

IEEE transaction on neural networks and learning systems, 2001-11, Vol.12 (6), p.1386-1399

Engelbrecht, A.P.

2001

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PARTICLE SWARM OPTIMIZATION METHOD FOR IMAGE CLUSTERING

International journal of pattern recognition and artificial intelligence, 2005-05, Vol.19 (3), p.297-321

2005

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Degrees of stochasticity in particle swarm optimization

Swarm intelligence, 2019-12, Vol.13 (3-4), p.193-215

2019

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Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps

IEEE access, 2020-01, Vol.8, p.1-1

2020

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The influence of fitness landscape characteristics on particle swarm optimisers

Natural computing, 2022-06, Vol.21 (2), p.335-345

2022

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Locating multiple optima using particle swarm optimization

Applied mathematics and computation, 2007-06, Vol.189 (2), p.1859-1883

2007

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A Cooperative approach to particle swarm optimization

IEEE transactions on evolutionary computation, 2004-06, Vol.8 (3), p.225-239

2004

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A novel particle swarm niching technique based on extensive vector operations

Natural computing, 2010-09, Vol.9 (3), p.683-701

2010

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Clustering data in an uncertain environment using an artificial immune system

Pattern recognition letters, 2011-01, Vol.32 (2), p.342-351

2011

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Learning to play games using a PSO-based competitive learning approach

IEEE transactions on evolutionary computation, 2004-06, Vol.8 (3), p.280-288

2004

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Clustering data in stationary environments with a local network neighborhood artificial immune system

International journal of machine learning and cybernetics, 2012-03, Vol.3 (1), p.1-26

2012

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Genetic algorithms for the structural optimisation of learned polynomial expressions

Applied mathematics and computation, 2007-03, Vol.186 (2), p.1441-1466

2007

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Training feedforward neural networks with Bayesian hyper-heuristics

Information sciences, 2025-01, Vol.686, Article 121363

2025

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Supervised training using an unsupervised approach to active learning

Neural processing letters, 2002-06, Vol.15 (3), p.247-260

2002

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CIlib: A collaborative framework for Computational Intelligence algorithms - Part I

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1750-1757

2008

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Combining particle swarm optimisation with angle modulation to solve binary problems

2005 IEEE Congress on Evolutionary Computation, 2005, Vol.1, p.89-96 Vol.1

2005

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Recent advances in particle swarm optimization analysis and understanding 2021

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021, p.341-368

2021

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Rule improvement through decision boundary detection using sensitivity analysis

Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999, p.78-84

1999

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Inertia weight control strategies: Particle roaming behavior

2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2017, p.193-197

Engelbrecht, A P

2017

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Characterising the searchability of continuous optimisation problems for PSO

Swarm intelligence, 2014-12, Vol.8 (4), p.275-302

2014

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Sensitivity analysis for decision boundaries

Neural processing letters, 1999-12, Vol.10 (3), p.253-266

ENGELBRECHT, A. P

1999

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Training feedforward neural networks with dynamic particle swarm optimisation

Swarm intelligence, 2012-09, Vol.6 (3), p.233-270

2012

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CIlib: A collaborative framework for Computational Intelligence algorithms - Part II

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1764-1773

2008

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Particle swarm optimization with crossover: a review and empirical analysis

A study of particle swarm optimization particle trajectories

A new pruning heuristic based on variance analysis of sensitivity information

PARTICLE SWARM OPTIMIZATION METHOD FOR IMAGE CLUSTERING

Degrees of stochasticity in particle swarm optimization

Data-driven visual characterization of patient health-status using electronic health records and self-organizing maps

The influence of fitness landscape characteristics on particle swarm optimisers

Locating multiple optima using particle swarm optimization

A Cooperative approach to particle swarm optimization

A novel particle swarm niching technique based on extensive vector operations

Clustering data in an uncertain environment using an artificial immune system

Learning to play games using a PSO-based competitive learning approach

Clustering data in stationary environments with a local network neighborhood artificial immune system

Genetic algorithms for the structural optimisation of learned polynomial expressions

Training feedforward neural networks with Bayesian hyper-heuristics

Supervised training using an unsupervised approach to active learning

CIlib: A collaborative framework for Computational Intelligence algorithms - Part I

Combining particle swarm optimisation with angle modulation to solve binary problems

Recent advances in particle swarm optimization analysis and understanding 2021

Rule improvement through decision boundary detection using sensitivity analysis

Inertia weight control strategies: Particle roaming behavior

Characterising the searchability of continuous optimisation problems for PSO

Sensitivity analysis for decision boundaries

Training feedforward neural networks with dynamic particle swarm optimisation

CIlib: A collaborative framework for Computational Intelligence algorithms - Part II

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