Beatrice M. Ombuki-Berman

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 42

Top Topics

Optimization Algorithm

Automatic Construction

Genetic Programming

Top Venues

Swarm Evol. Comput.

Publications

Alanna McNulty, Beatrice M. Ombuki-Berman
A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. CEC (2023)
Tom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati-Jivan
Identification and Classification of JMH Microbenchmark States using Time Series Analysis. ICPE (Companion) (2023)
Amirali Madani, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems. Swarm Evol. Comput. 78 (2023)
Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. CEC (2023)
Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. CEC (2022)
Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping. ANTS Conference (2022)
Liam J. S. McDevitt, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. SSCI (2022)
Mitchell Clark, Beatrice M. Ombuki-Berman, Nicholas Aksamit, Andries P. Engelbrecht
Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. SSCI (2022)
Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. Swarm Intell. 16 (2) (2022)
Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An analysis of the impact of subsampling on the neural network error surface. Neurocomputing 466 (2021)
Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. CEC (2021)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. CEC (2021)
Reginald McLean, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Swarm Based Algorithms for Neural Network Training. SMC (2020)
James Paterson, Beatrice M. Ombuki-Berman
A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition. SMC (2020)
Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks. Neural Process. Lett. 52 (2) (2020)
Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training. Neural Process. Lett. 51 (1) (2020)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. SSCI (2020)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A parameter-free particle swarm optimization algorithm using performance classifiers. Inf. Sci. 503 (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. ICSI (1) (2019)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. CEC (2019)
James Paterson, Beatrice M. Ombuki-Berman
Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm. IEA/AIE (2018)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Self-adaptive particle swarm optimization: a review and analysis of convergence. Swarm Intell. 12 (3) (2018)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Gaussian-Valued Particle Swarm Optimization. ANTS Conference (2018)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. Swarm Evol. Comput. 41 (2018)
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
The bi-objective critical node detection problem. Eur. J. Oper. Res. 265 (3) (2018)
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A Scalability Study of Many-Objective Optimization Algorithms. IEEE Trans. Evol. Comput. 22 (1) (2018)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Optimal parameter regions for particle swarm optimization algorithms. CEC (2017)
Audrey Opoku-Amankwaah, Beatrice M. Ombuki-Berman
An age layered population structure genetic algorithm for the multi-depot vehicle problem. SSCI (2017)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
An adaptive particle swarm optimization algorithm based on optimal parameter regions. SSCI (2017)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. Swarm Intell. 10 (4) (2016)
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Pareto-based many-objective optimization using knee points. CEC (2016)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
A radius-free quantum particle swarm optimization technique for dynamic optimization problems. CEC (2016)
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
A meta-analysis of centrality measures for comparing and generating complex network models. J. Comput. Sci. 17 (2016)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Automatic inference of graph models for directed complex networks using genetic programming. CEC (2016)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
The sad state of self-adaptive particle swarm optimizers. CEC (2016)
Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
Investigating Fitness Measures for the Automatic Construction of Graph Models. EvoApplications (2015)
Derek Dibblee, Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Vector-evaluated particle swarm optimization with local search. CEC (2015)
Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization. SSCI (2015)
Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks. EvoApplications (2015)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. SSCI (2015)
Ron Bond, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
Evaluating landscape characteristics of dynamic benchmark functions. CEC (2015)
Justin Maltese, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping. SSCI (2015)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. IEEE Congress on Evolutionary Computation (2014)
Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman
Genetic Programming for the Automatic Inference of Graph Models for Complex Networks. IEEE Trans. Evol. Comput. 18 (3) (2014)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Incorporating expert knowledge in object-oriented genetic programming. GECCO (Companion) (2014)
Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks. NaBIC (2014)
Mario Ventresca, Beatrice M. Ombuki-Berman, Andrew Runka
Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures. EvoCOP (2013)
N. J. Unger, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Cooperative particle swarm optimization in dynamic environments. SIS (2013)
Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
A scalability study of multi-objective particle swarm optimizers. IEEE Congress on Evolutionary Computation (2013)
Alexander Bailey, Beatrice M. Ombuki-Berman, Mario Ventresca
Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks. GECCO (2013)
Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. EMO (2013)
Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman
Automatic generation of graph models for complex networks by genetic programming. GECCO (2012)
Mohammad Naeem, Beatrice M. Ombuki-Berman
An efficient genetic algorithm for the uncapacitated single allocation hub location problem. IEEE Congress on Evolutionary Computation (2010)
Joseph A. Brown, Sheridan K. Houghten, Beatrice M. Ombuki-Berman
Genetic algorithm cryptanalysis of a substitution permutation network. CICS (2009)
Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca
A search space analysis for the waste collection vehicle routing problem with time windows. GECCO (2009)
Earl B. Foxwell, Beatrice M. Ombuki-Berman
Particle swarm optimisation for the design of two-connected networks with bounded rings. Int. J. High Perform. Syst. Archit. 1 (4) (2008)
Mario Ventresca, Beatrice M. Ombuki-Berman
Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers. ALIFE (2007)
Franklin Hanshar, Beatrice M. Ombuki-Berman
Dynamic vehicle routing using genetic algorithms. Appl. Intell. 27 (1) (2007)
Beatrice M. Ombuki-Berman, Mario Ventresca
Search Difficulty of Two-Connected Ring-based Topological Network Designs. FOCI (2007)
Mario Ventresca, Beatrice M. Ombuki-Berman
Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. IJCNN (2006)