Experimental evaluation of an evolutionary scheduling scheme for the job shop scheduling problem. - Beatrice M. Ombuki; Morikazu Nakamura; Kenji Onaga (KES (3), 1998)

A new hybrid GA solution to combinatorial optimization problems - an application to the multiprocessor scheduling problem. - Morikazu Nakamura; Beatrice M. Ombuki; K. Shimabukuro; Kenji Onaga (Artif. Life Robotics, 1998)

Local Search Genetic Algorithms for the Job Shop Scheduling Problem. - Beatrice M. Ombuki; Mario Ventresca (Appl. Intell., 2004)

A Genetic Algorithm for the Design of Minimum-cost Two-connected Networks with Bounded Rings. - Mario Ventresca; Beatrice M. Ombuki (Int. J. Comput. Intell. Appl., 2005)

Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. - Mario Ventresca; Beatrice M. Ombuki-Berman (IJCNN, 2006)

Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows. - Beatrice M. Ombuki; Brian Ross; Franklin Hanshar (Appl. Intell., 2006)

Search Difficulty of Two-Connected Ring-based Topological Network Designs. - Beatrice M. Ombuki-Berman; Mario Ventresca (FOCI, 2007)

Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers. - Mario Ventresca; Beatrice M. Ombuki-Berman (ALIFE, 2007)

Dynamic vehicle routing using genetic algorithms. - Franklin Hanshar; Beatrice M. Ombuki-Berman (Appl. Intell., 2007)

Particle swarm optimisation for the design of two-connected networks with bounded rings. - Earl B. Foxwell; Beatrice M. Ombuki-Berman (Int. J. High Perform. Syst. Archit., 2008)

Genetic algorithm cryptanalysis of a substitution permutation network. - Joseph A. Brown; Sheridan K. Houghten; Beatrice M. Ombuki-Berman (CICS, 2009)

A search space analysis for the waste collection vehicle routing problem with time windows. - Andrew Runka; Beatrice M. Ombuki-Berman; Mario Ventresca (GECCO, 2009)

Using Genetic Algorithms for Multi-depot Vehicle Routing. - Beatrice M. Ombuki-Berman; Franklin Hanshar (Bio-inspired Algorithms for the Vehicle Routing Problem, 2009)

An efficient genetic algorithm for the uncapacitated single allocation hub location problem. - Mohammad Naeem; Beatrice M. Ombuki-Berman (IEEE Congress on Evolutionary Computation, 2010)

Automatic generation of graph models for complex networks by genetic programming. - Alexander Bailey; Mario Ventresca; Beatrice M. Ombuki-Berman (GECCO, 2012)

A scalability study of multi-objective particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (IEEE Congress on Evolutionary Computation, 2013)

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (EMO, 2013)

Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures. - Mario Ventresca; Beatrice M. Ombuki-Berman; Andrew Runka (EvoCOP, 2013)

Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks. - Alexander Bailey; Beatrice M. Ombuki-Berman; Mario Ventresca (GECCO, 2013)

Cooperative particle swarm optimization in dynamic environments. - N. J. Unger; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SIS, 2013)

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (IEEE Congress on Evolutionary Computation, 2014)

Incorporating expert knowledge in object-oriented genetic programming. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (GECCO (Companion), 2014)

Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (NaBIC, 2014)

Genetic Programming for the Automatic Inference of Graph Models for Complex Networks. - Alexander Bailey; Mario Ventresca; Beatrice M. Ombuki-Berman (IEEE Trans. Evol. Comput., 2014)

Evaluating landscape characteristics of dynamic benchmark functions. - Ron Bond; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (CEC, 2015)

Vector-evaluated particle swarm optimization with local search. - Derek Dibblee; Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2015)

Investigating Fitness Measures for the Automatic Construction of Graph Models. - Kyle Robert Harrison; Mario Ventresca; Beatrice M. Ombuki-Berman (EvoApplications, 2015)

An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks. - Mario Ventresca; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (EvoApplications, 2015)

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2015)

High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping. - Justin Maltese; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (SSCI, 2015)

Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2015)

The sad state of self-adaptive particle swarm optimizers. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (CEC, 2016)

A radius-free quantum particle swarm optimization technique for dynamic optimization problems. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2016)

Pareto-based many-objective optimization using knee points. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2016)

Automatic inference of graph models for directed complex networks using genetic programming. - Michael Richard Medland; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (CEC, 2016)

A meta-analysis of centrality measures for comparing and generating complex network models. - Kyle Robert Harrison; Mario Ventresca; Beatrice M. Ombuki-Berman (J. Comput. Sci., 2016)

Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2016)

Optimal parameter regions for particle swarm optimization algorithms. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2017)

An adaptive particle swarm optimization algorithm based on optimal parameter regions. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (SSCI, 2017)

An age layered population structure genetic algorithm for the multi-depot vehicle problem. - Audrey Opoku-Amankwaah; Beatrice M. Ombuki-Berman (SSCI, 2017)

Gaussian-Valued Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ANTS Conference, 2018)

Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm. - James Paterson; Beatrice M. Ombuki-Berman (IEA/AIE, 2018)

The bi-objective critical node detection problem. - Mario Ventresca; Kyle Robert Harrison; Beatrice M. Ombuki-Berman (Eur. J. Oper. Res., 2018)

Self-adaptive particle swarm optimization: a review and analysis of convergence. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Intell., 2018)

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. - Kyle Robert Harrison; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Evol. Comput., 2018)

A Scalability Study of Many-Objective Optimization Algorithms. - Justin Maltese; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (IEEE Trans. Evol. Comput., 2018)

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2019)

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ICSI (1), 2019)

A parameter-free particle swarm optimization algorithm using performance classifiers. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Inf. Sci., 2019)

Swarm Based Algorithms for Neural Network Training. - Reginald McLean; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SMC, 2020)

A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition. - James Paterson; Beatrice M. Ombuki-Berman (SMC, 2020)

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. - Kyle Robert Harrison; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2020)

Juan C. Burguillo: Self-organizing coalitions for managing complexity. - Beatrice M. Ombuki (Genet. Program. Evolvable Mach., 2020)

An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks. - Cody Dennis; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Neural Process. Lett., 2020)

Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training. - Cody Dennis; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Neural Process. Lett., 2020)

Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. - Cody Dennis; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2021)

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 (CEC, 2021)

Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. - Amirali Madani; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2021)

Two Modified NichePSO Algorithms for Multimodal Optimization. - Tyler Crane; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (ICSI (1), 2021)

An analysis of the impact of subsampling on the neural network error surface. - Cody Dennis; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Neurocomputing, 2021)

Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (ANTS Conference, 2022)

Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. - Pawel Jocko; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (CEC, 2022)

Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. - Mitchell Clark; Beatrice M. Ombuki-Berman; Nicholas Aksamit; Andries P. Engelbrecht (SSCI, 2022)

A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. - Liam J. S. McDevitt; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (SSCI, 2022)

Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. - Pawel Jocko; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Intell., 2022)

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 (CEC, 2023)

A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. - Alanna McNulty; Beatrice M. Ombuki-Berman (CEC, 2023)

Identification and Classification of JMH Microbenchmark States using Time Series Analysis. - Tom Wallace; Beatrice M. Ombuki-Berman; Naser Ezzati-Jivan (ICPE (Companion), 2023)

Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems. - Amirali Madani; Andries P. Engelbrecht; Beatrice M. Ombuki-Berman (Swarm Evol. Comput., 2023)

Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery. - Ethan Gibbons; Alexander Bailey; Beatrice M. Ombuki-Berman (Canadian AI, 2024)

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 (Canadian AI, 2024)

A Memetic Algorithm for Large-Scale Real-World Vehicle Routing Problems with Simultaneous Pickup and Delivery with Time Windows. - Ethan Gibbons; Beatrice M. Ombuki-Berman (MIC (1), 2024)

Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning. - Rasa Khosrowshahli; Shahryar Rahnamayan; Beatrice M. Ombuki-Berman (CCECE, 2024)

A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Evol. Comput., 2024)

Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems. - Alanna McNulty; Beatrice M. Ombuki-Berman; Andries P. Engelbrecht (Swarm Intell., 2024)

Integrating transformers and many-objective optimization for drug design. - Nicholas Aksamit; Jinqiang Hou; Yifeng Li; Beatrice M. Ombuki-Berman (BMC Bioinform., 2024)

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery. - Nicholas Aksamit; Alain Tchagang; Yifeng Li; Beatrice M. Ombuki-Berman (BMC Bioinform., 2024)

Leonardo Vanneschi and Sara Silva: lectures on intelligent systems. - Beatrice M. Ombuki-Berman (Genet. Program. Evolvable Mach., 2024)

Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models. - Tom Wallace; Beatrice M. Ombuki-Berman; Naser Ezzati-Jivan (ICPE, 2025)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks. - Rasa Khosrowshahli; Shahryar Rahnamayan; Beatrice M. Ombuki-Berman (CoRR, 2025)