2026 Andries P. Engelbrecht: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1827	1768	1	1	459	31917

Research.com Recognitions

2026 - Research.com Computer Science in South Africa Leader Award
2025 - Research.com Computer Science in South Africa Leader Award
2023 - Research.com Computer Science in South Africa Leader Award
2022 - Research.com Computer Science in South Africa Leader Award

Overview

Andries P. Engelbrecht is affiliated with Stellenbosch University in South Africa. Their primary research field is Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Control and Systems Engineering.

The main topics covered in their work include:

Metaheuristic Optimization Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Evolutionary Algorithms and Applications
Neural Networks and Applications
Risk and Portfolio Optimization
Machine Learning and Data Classification
Machine Learning and ELM

Recent significant papers authored by Engelbrecht are:

A memory guided sine cosine algorithm for global optimization (2020), Engineering Applications of Artificial Intelligence
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems (2023), Swarm and Evolutionary Computation
Set-Based Particle Swarm Optimisation: A Review (2023), Mathematics
Meta-heuristics for portfolio optimization (2023), Soft Computing
An Exploratory Landscape Analysis-Based Benchmark Suite (2021), Algorithms

Their frequent co-authors include Beatrice Ombuki-Berman, Kyle Erwin, Hussein A. Abbass, Nesreen K. Ahmed, and Choon Ki, each collaborating on multiple publications.

Engelbrecht has contributed extensively to various publication venues, with notable frequency in:

Algorithms
IEEE Transactions on Neural Networks and Learning Systems
arXiv (Cornell University)
Swarm and Evolutionary Computation
Swarm Intelligence

In terms of books, Engelbrecht has published multiple titles with several publishers. With IntechOpen, they have published:

Swarm Intelligence - Recent Advances and Current Applications (2022)
Industry 4.0 - Perspectives and Applications (2022)
Artificial Neural Networks - Recent Advances, New Perspectives and Applications (2022)

They also published books titled Computer Vision and Robotics with Springer Nature in 2022 and 2023, and a book entitled Swarm Intelligence with Springer Science+Business Media in 2022.

Best Publications

Computational Intelligence: An Introduction

Andries P. Engelbrecht

4121
Citations
Fundamentals of Computational Swarm Intelligence

Andries P. Engelbrecht

2784
Citations
A Cooperative approach to particle swarm optimization

F. van den Bergh;A.P. Engelbrecht

2663
Citations
An analysis of particle swarm optimizers

Frans Van Den Bergh;A. P. Engelbrecht

2032
Citations
A study of particle swarm optimization particle trajectories

F. van den Bergh;A. P. Engelbrecht

1781
Citations
Data clustering using particle swarm optimization

D.W. van der Merwe;A.P. Engelbrecht

1097
Citations
A new locally convergent particle swarm optimiser

F. van den Bergh;A.P. Engelbrecht

714
Citations
Cooperative learning in neural networks using particle swarm optimizers

F Van Den Bergh;A P Engelbrecht

527
Citations
An overview of clustering methods

Mahamed G. H. Omran;Andries P. Engelbrecht;Ayed Salman

466
Citations
PARTICLE SWARM OPTIMIZATION METHOD FOR IMAGE CLUSTERING

Mahamed G. H. Omran;Andries Petrus Engelbrecht;Ayed A. Salman

409
Citations
Dynamic clustering using particle swarm optimization with application in image segmentation

Mahamed G. Omran;Ayed Salman;Andries P. Engelbrecht

369
Citations
Measuring exploration/exploitation in particle swarms using swarm diversity

O. Olorunda;A.P. Engelbrecht

343
Citations
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications

Xiaodong Li;Michael G. Epitropakis;Kalyanmoy Deb;Andries Engelbrecht

341
Citations
Self-adaptive differential evolution

Mahamed G. H. Omran;Ayed Salman;Andries P. Engelbrecht

317
Citations
Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization'

Xiaodong Li;Andries Engelbrecht;M. G. Epitropakis

315
Citations
Using neighbourhoods with the guaranteed convergence PSO

E.S. Peer;F. van den Bergh;A.P. Engelbrecht

306
Citations
Image Classification using Particle Swarm Optimization.

Mahamed G. H. Omran;Andries P. Engelbrecht;Ayed A. Salman

301
Citations
Locating multiple optima using particle swarm optimization

R. Brits;A.P. Engelbrecht;F. van den Bergh

300
Citations
2015 IEEE Symposium Series on Computational Intelligence

Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

299
Citations
A survey of techniques for characterising fitness landscapes and some possible ways forward

Katherine M. Malan;Andries P. Engelbrecht

299
Citations
Effects of swarm size on Cooperative Particle Swarm Optimisers

F. van den Bergh;A. P. Engelbrecht

267
Citations

Frequent Co-Authors

Marco Dorigo Université Libre de Bruxelles

Andreas Pitsillides University of Cyprus

Mauro Birattari Université Libre de Bruxelles

Graham Kendall MILA University

Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research

Xiaodong Li University of Virginia

Thomas Stützle Université Libre de Bruxelles

Jacek M. Zurada University of Louisville

Gianni A. Di Caro Carnegie Mellon University

Kalyanmoy Deb Michigan State University

External Links

Personal website of Andries P. Engelbrecht Google Scholar page

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