Beatrice M. Ombuki-Berman

77 papers A 3B 24C 3Journal 24Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Split Algorithm in Linear Time for the Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows. CoRR Ethan Gibbons, Mario Ventresca, Beatrice M. Ombuki-Berman
2025	J	`jnl`	A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks. CoRR Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice M. Ombuki-Berman
2025	B	`conf`	Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models. ICPE Tom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati-Jivan
2025	J	`jnl`	Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models. CoRR Tom Wallace, Naser Ezzati-Jivan, Beatrice M. Ombuki-Berman
2024	—	`conf`	A Memetic Algorithm for Large-Scale Real-World Vehicle Routing Problems with Simultaneous Pickup and Delivery with Time Windows. MIC (1) Ethan Gibbons, Beatrice M. Ombuki-Berman
2024	J	`jnl`	A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems. Swarm Evol. Comput. Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2024	J	`jnl`	Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems. Swarm Intell. Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2024	—	`conf`	Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery. Canadian AI Ethan Gibbons, Alexander Bailey, Beatrice M. Ombuki-Berman
2024	J	`jnl`	Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery. BMC Bioinform. Nicholas Aksamit, Alain Tchagang, Yifeng Li, Beatrice M. Ombuki-Berman
2024	J	`jnl`	Integrating transformers and many-objective optimization for drug design. BMC Bioinform. Nicholas Aksamit, Jinqiang Hou, Yifeng Li, Beatrice M. Ombuki-Berman
2024	J	`jnl`	Leonardo Vanneschi and Sara Silva: lectures on intelligent systems. Genet. Program. Evolvable Mach. Beatrice M. Ombuki-Berman
2024	—	`conf`	Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning. CCECE Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice M. Ombuki-Berman
2024	J	`jnl`	Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning. CoRR Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice M. Ombuki-Berman
2024	—	`conf`	Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems. Canadian AI Zachary McGovarin, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2023	B	`conf`	A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments. CEC Alanna McNulty, Beatrice M. Ombuki-Berman
2023	B	`conf`	A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning. CEC Liam J. S. McDevitt, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2023	J	`jnl`	Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems. Swarm Evol. Comput. Amirali Madani, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2023	—	`conf`	Identification and Classification of JMH Microbenchmark States using Time Series Analysis. ICPE (Companion) Tom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati-Jivan
2022	—	`conf`	A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization. SSCI Liam J. S. McDevitt, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2022	—	`conf`	Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization. SSCI Mitchell Clark, Beatrice M. Ombuki-Berman, Nicholas Aksamit, Andries P. Engelbrecht
2022	—	`conf`	Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping. ANTS Conference Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2022	B	`conf`	Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation. CEC Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2022	J	`jnl`	Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems. Swarm Intell. Pawel Jocko, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2021	J	`jnl`	An analysis of the impact of subsampling on the neural network error surface. Neurocomputing Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2021	B	`conf`	Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. CEC Amirali Madani, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2021	B	`conf`	Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. CEC Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2021	—	`conf`	Two Modified NichePSO Algorithms for Multimodal Optimization. ICSI (1) Tyler Crane, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2021	B	`conf`	Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. CEC Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2020	B	`conf`	A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition. SMC James Paterson, Beatrice M. Ombuki-Berman
2020	J	`jnl`	An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks. Neural Process. Lett. Cody Dennis, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2020	J	`jnl`	Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training. Neural Process. Lett. Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2020	B	`conf`	Swarm Based Algorithms for Neural Network Training. SMC Reginald McLean, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2020	—	`conf`	Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification. SSCI Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019	J	`jnl`	A parameter-free particle swarm optimization algorithm using performance classifiers. Inf. Sci. Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019	—	`conf`	An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm. ICSI (1) Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2019	B	`conf`	The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. CEC Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2018	J	`jnl`	A Scalability Study of Many-Objective Optimization Algorithms. IEEE Trans. Evol. Comput. Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2018	—	`conf`	Gaussian-Valued Particle Swarm Optimization. ANTS Conference Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2018	J	`jnl`	Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm. Swarm Evol. Comput. Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2018	C	`conf`	Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm. IEA/AIE James Paterson, Beatrice M. Ombuki-Berman
2018	J	`jnl`	Self-adaptive particle swarm optimization: a review and analysis of convergence. Swarm Intell. Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2018	J	`jnl`	The bi-objective critical node detection problem. Eur. J. Oper. Res. Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2017	—	`conf`	An adaptive particle swarm optimization algorithm based on optimal parameter regions. SSCI Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2017	—	`conf`	An age layered population structure genetic algorithm for the multi-depot vehicle problem. SSCI Audrey Opoku-Amankwaah, Beatrice M. Ombuki-Berman
2017	B	`conf`	Optimal parameter regions for particle swarm optimization algorithms. CEC Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2016	J	`jnl`	A meta-analysis of centrality measures for comparing and generating complex network models. J. Comput. Sci. Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
2016	B	`conf`	A radius-free quantum particle swarm optimization technique for dynamic optimization problems. CEC Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2016	B	`conf`	Automatic inference of graph models for directed complex networks using genetic programming. CEC Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2016	J	`jnl`	Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis. Swarm Intell. Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2016	B	`conf`	Pareto-based many-objective optimization using knee points. CEC Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2016	B	`conf`	The sad state of self-adaptive particle swarm optimizers. CEC Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2015	B	`conf`	An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks. EvoApplications Mario Ventresca, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2015	—	`conf`	Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization. SSCI Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2015	B	`conf`	Evaluating landscape characteristics of dynamic benchmark functions. CEC Ron Bond, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2015	—	`conf`	High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping. SSCI Justin Maltese, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2015	B	`conf`	Investigating Fitness Measures for the Automatic Construction of Graph Models. EvoApplications Kyle Robert Harrison, Mario Ventresca, Beatrice M. Ombuki-Berman
2015	—	`conf`	The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems. SSCI Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2015	B	`conf`	Vector-evaluated particle swarm optimization with local search. CEC Derek Dibblee, Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2014	—	`conf`	Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks. NaBIC Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2014	B	`conf`	Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization. IEEE Congress on Evolutionary Computation Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2014	J	`jnl`	Genetic Programming for the Automatic Inference of Graph Models for Complex Networks. IEEE Trans. Evol. Comput. Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman
2014	—	`conf`	Incorporating expert knowledge in object-oriented genetic programming. GECCO (Companion) Michael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman
2013	B	`conf`	A scalability study of multi-objective particle swarm optimizers. IEEE Congress on Evolutionary Computation Kyle Robert Harrison, Andries P. Engelbrecht, Beatrice M. Ombuki-Berman
2013	A	`conf`	Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks. GECCO Alexander Bailey, Beatrice M. Ombuki-Berman, Mario Ventresca
2013	—	`conf`	Cooperative particle swarm optimization in dynamic environments. SIS N. J. Unger, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2013	C	`conf`	Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization. EMO Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
2013	B	`conf`	Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures. EvoCOP Mario Ventresca, Beatrice M. Ombuki-Berman, Andrew Runka
2012	A	`conf`	Automatic generation of graph models for complex networks by genetic programming. GECCO Alexander Bailey, Mario Ventresca, Beatrice M. Ombuki-Berman
2010	B	`conf`	An efficient genetic algorithm for the uncapacitated single allocation hub location problem. IEEE Congress on Evolutionary Computation Mohammad Naeem, Beatrice M. Ombuki-Berman
2009	A	`conf`	A search space analysis for the waste collection vehicle routing problem with time windows. GECCO Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca
2009	—	`conf`	Genetic algorithm cryptanalysis of a substitution permutation network. CICS Joseph A. Brown, Sheridan K. Houghten, Beatrice M. Ombuki-Berman
2009	—	`ch.`	Using Genetic Algorithms for Multi-depot Vehicle Routing. Bio-inspired Algorithms for the Vehicle Routing Problem Beatrice M. Ombuki-Berman, Franklin Hanshar
2008	J	`jnl`	Particle swarm optimisation for the design of two-connected networks with bounded rings. Int. J. High Perform. Syst. Archit. Earl B. Foxwell, Beatrice M. Ombuki-Berman
2007	J	`jnl`	Dynamic vehicle routing using genetic algorithms. Appl. Intell. Franklin Hanshar, Beatrice M. Ombuki-Berman
2007	C	`conf`	Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers. ALIFE Mario Ventresca, Beatrice M. Ombuki-Berman
2007	—	`conf`	Search Difficulty of Two-Connected Ring-based Topological Network Designs. FOCI Beatrice M. Ombuki-Berman, Mario Ventresca
2006	B	`conf`	Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks. IJCNN Mario Ventresca, Beatrice M. Ombuki-Berman