Beatrice M. Ombuki-Berman

Orcid: 0000-0002-7296-9510

According to our database1, Beatrice M. Ombuki-Berman authored at least 76 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Leonardo Vanneschi and Sara Silva: lectures on intelligent systems.
Genet. Program. Evolvable Mach., December, 2024

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.
BMC Bioinform., December, 2024

Integrating transformers and many-objective optimization for drug design.
BMC Bioinform., December, 2024

Decomposition and merging cooperative particle swarm optimization with random grouping for large-scale optimization problems.
Swarm Intell., September, 2024

A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2024

Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning.
CoRR, 2024

A Memetic Algorithm for Large-Scale Real-World Vehicle Routing Problems with Simultaneous Pickup and Delivery with Time Windows.
Proceedings of the Metaheuristics - 15th International Conference, 2024

2023
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems.
Swarm Evol. Comput., 2023

Identification and Classification of JMH Microbenchmark States using Time Series Analysis.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

A Comparative Study of Multi-Guide Particle Swarm Optimization Topologies in Dynamic Multi-Objective Environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Framework for Meta-heuristic Parameter Performance Prediction Using Fitness Landscape Analysis and Machine Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Multi-guide particle swarm optimisation archive management strategies for dynamic optimisation problems.
Swarm Intell., 2022

A Particle Swarm Optimization Decomposition Strategy for Large Scale Global Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Dynamic Multi-objective Optimisation Using Multi-guide Particle Swarm Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021
An analysis of the impact of subsampling on the neural network error surface.
Neurocomputing, 2021

Two Modified NichePSO Algorithms for Multimodal Optimization.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training.
Neural Process. Lett., 2020

An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks.
Neural Process. Lett., 2020

Juan C. Burguillo: Self-organizing coalitions for managing complexity.
Genet. Program. Evolvable Mach., 2020

Visualizing and Characterizing the Parameter Configuration Landscape of Differential Evolution using Physical Landform Classification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Swarm Based Algorithms for Neural Network Training.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
A parameter-free particle swarm optimization algorithm using performance classifiers.
Inf. Sci., 2019

An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Scalability Study of Many-Objective Optimization Algorithms.
IEEE Trans. Evol. Comput., 2018

Optimal parameter regions and the time-dependence of control parameter values for the particle swarm optimization algorithm.
Swarm Evol. Comput., 2018

Self-adaptive particle swarm optimization: a review and analysis of convergence.
Swarm Intell., 2018

The bi-objective critical node detection problem.
Eur. J. Oper. Res., 2018

Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Gaussian-Valued Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
An age layered population structure genetic algorithm for the multi-depot vehicle problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An adaptive particle swarm optimization algorithm based on optimal parameter regions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal parameter regions for particle swarm optimization algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Inertia weight control strategies for particle swarm optimization - Too much momentum, not enough analysis.
Swarm Intell., 2016

A meta-analysis of centrality measures for comparing and generating complex network models.
J. Comput. Sci., 2016

Automatic inference of graph models for directed complex networks using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Pareto-based many-objective optimization using knee points.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A radius-free quantum particle swarm optimization technique for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The sad state of self-adaptive particle swarm optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

High-Dimensional Multi-Objective Optimization Using Co-operative Vector-Evaluated Particle Swarm Optimization with Random Variable Grouping.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

The Effect of Probability Distributions on the Performance of Quantum Particle Swarm Optimization for Solving Dynamic Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

An Experimental Evaluation of Multi-objective Evolutionary Algorithms for Detecting Critical Nodes in Complex Networks.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Investigating Fitness Measures for the Automatic Construction of Graph Models.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Vector-evaluated particle swarm optimization with local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evaluating landscape characteristics of dynamic benchmark functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Genetic Programming for the Automatic Inference of Graph Models for Complex Networks.
IEEE Trans. Evol. Comput., 2014

Demonstrating the power of object-oriented genetic programming via the inference of graph models for complex networks.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Incorporating expert knowledge in object-oriented genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Dynamic multi-objective optimization using charged vector evaluated particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Cooperative particle swarm optimization in dynamic environments.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Automatic inference of hierarchical graph models using genetic programming with an application to cortical networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape Measures.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A scalability study of multi-objective particle swarm optimizers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Automatic generation of graph models for complex networks by genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010
An efficient genetic algorithm for the uncapacitated single allocation hub location problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Using Genetic Algorithms for Multi-depot Vehicle Routing.
Proceedings of the Bio-inspired Algorithms for the Vehicle Routing Problem, 2009

A search space analysis for the waste collection vehicle routing problem with time windows.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Genetic algorithm cryptanalysis of a substitution permutation network.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009

2008
Particle swarm optimisation for the design of two-connected networks with bounded rings.
Int. J. High Perform. Syst. Archit., 2008

2007
Dynamic vehicle routing using genetic algorithms.
Appl. Intell., 2007

Epistasis in Multi-Objective Evolutionary Recurrent Neuro-Controllers.
Proceedings of the First IEEE Symposium on Artificial Life, 2007

Search Difficulty of Two-Connected Ring-based Topological Network Designs.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows.
Appl. Intell., 2006

Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
A Genetic Algorithm for the Design of Minimum-cost Two-connected Networks with Bounded Rings.
Int. J. Comput. Intell. Appl., 2005

2004
Local Search Genetic Algorithms for the Job Shop Scheduling Problem.
Appl. Intell., 2004

1998
A new hybrid GA solution to combinatorial optimization problems - an application to the multiprocessor scheduling problem.
Artif. Life Robotics, 1998

Experimental evaluation of an evolutionary scheduling scheme for the job shop scheduling problem.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998


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