| 2024 | AI | Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery. | Ethan Gibbons, Alexander Bailey, Beatrice M. Ombuki-Berman |
| 2024 | AI | Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems. | Zachary McGovarin, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2023 | CEC | A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. | Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman |
| 2023 | CEC | A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. | Alanna McNulty, Beatrice M. Ombuki-Berman |
| 2022 | CEC | Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. | Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | CEC | Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. | Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | CEC | Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | CEC | Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. | Amirali Madani, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2020 | SMC | Swarm Based Algorithms for Neural Network Training. | Reginald McLean, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2020 | SMC | A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition. | James Paterson, Beatrice M. Ombuki-Berman |
| 2019 | CEC | The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2017 | CEC | Optimal parameter regions for particle swarm optimization algorithms. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2016 | CEC | The sad state of self-adaptive particle swarm optimizers. | Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2016 | CEC | A radius-free quantum particle swarm optimization technique for dynamic optimization problems. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2016 | CEC | Pareto-based many-objective optimization using knee points. | Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2016 | CEC | Automatic inference of graph models for directed complex networks using genetic programming. | Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman |
| 2015 | CEC | Evaluating landscape characteristics of dynamic benchmark functions. | Ron Bond, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2015 | CEC | Vector-evaluated particle swarm optimization with local search. | Derek Dibblee, Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2014 | CEC | Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2014 | GECCO | Incorporating expert knowledge in object-oriented genetic programming. | Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman |
| 2013 | CEC | A scalability study of multi-objective particle swarm optimizers. | Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman |
| 2013 | EMO | Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. | Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2013 | GECCO | Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks. | Alexander Bailey, Beatrice M. Ombuki-Berman, Mario Ventresca |
| 2012 | GECCO | Automatic generation of graph models for complex networks by genetic programming. | Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman |
| 2010 | CEC | An efficient genetic algorithm for the uncapacitated single allocation hub location problem. | Mohammad Naeem, Beatrice M. Ombuki-Berman |
| 2009 | GECCO | A search space analysis for the waste collection vehicle routing problem with time windows. | Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca |
| 2006 | IJCNN | Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. | Mario Ventresca, Beatrice M. Ombuki-Berman |